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Location services
- 1: Central location services deployment guide
- 1.1: Overview
- 1.2: Wi-Fi analytics solutions
- 1.3: Architecture
- 1.4: Design and deployment considerations
- 1.5: Partner integration
- 1.6: Troubleshooting
- 2: Open Locate deployment guide
- 2.1: Overview
- 2.2: Getting started
- 2.3: AP testing and verification
- 2.4: Partner integration
- 2.5: FAQ
1 - Central location services deployment guide
Location services and analytics are provided by the Central Location Engine (CLE), a service running within HPE Aruba Networking Central, and are commonly used in modern wireless networks to provide contextual insights into devices on the network based on their physical location. CLE consumes and processes raw Wi-Fi data sourced from HPE Aruba Networking Access Points managed by Central and running HPE Aruba Networking Wireless Operating System AOS 10 (AOS 10) or HPE Aruba Networking Instant Operating System AOS 8 (InstantOS 8). The CLE service is Aruba firmware-agnostic, ensuring consistent functionality across both the AOS 8 and AOS 10 firmware versions.
Notably, the HPE Aruba Networking Analytics and Location Engine (ALE) existing on-premises location analytics product, has laid a strong foundation by computing contextual data for associated and unassociated clients within defined areas. Building upon this legacy, CLE not only inherits the capabilities of ALE but elevates them through its cloud-centric architecture and enhanced precision.
1.1 - Overview
Use cases
Calculated data provided by CLE can be consumed by Central’s Presence Analytics application or by third-party analytics applications using Central’s rich set of contextual APIs.
The Presence Analytics dashboard provides insights into customer behavior and intent, showing a condensed overview of visitor behavior and patterns, data on dwell time, draw rate, loyalty, visitors, and browsing habits. Central also integrates with several solution partners to unlock various use cases. To learn more about our technology partner programs, refer to the partners portal.
-
Tracking the Impact of Promotions: By monitoring foot traffic before, during, and after a promotion, businesses can determine if a particular campaign successfully increased user footprint.
-
Identifying Returning Users: Presence Analytics can identify returning customers based on their device’s unique identifiers, such as MAC addresses. By recognizing repeat visitors, retailers can gain insights into customer loyalty and engagement.
-
Dwell Time Analytics: In addition to foot traffic, presence analytics can provide insights into how long customers spend in different areas of a store. This data reveals which sections are more engaging and attract longer dwell times.
-
Comparing Store Performance: Retailers can gather data and later use it to compare it to the other stores in terms of user footprint.
-
Operational Efficiency: Real-time location and geofencing data can be utilized to construct traffic heatmaps or path-movement maps that could then be used to optimize staffing levels in high-density hotspots or to help redirect traffic flow for venue attendees or retail customers to reduce space congestion.
-
Workplace Optimization: Analytics partners can use contextual data from the network and combine it with access card readers or HVAC systems to provide deeper insights into how workplaces are being utilized so businesses can make more informed decisions around upsizing or downsizing their workplaces.
Most of these use cases can either be enabled through Central’s Presence Analytics solution or by integrating with our analytics partners through a rich API set, some of the popular APIs being presence, station, location and geofence. For more details on available APIs and their usage, refer to the Partner Integration section. APIs allow third-party applications to access and utilize the data for various purposes, such as custom dashboards, integration with other software, or the development of new applications that leverage analytics.
APs send information to CLE for every associated and unassociated client within their range. CLE uses that information to perform two main functions:
-
Calculating locations of associated and unassociated clients.
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Storing contextual information in its database that can be exposed to third-party applications through APIs.
CLE provides many advantages including:
-
Ease of Installation – Eliminates the need for on-site hardware and infrastructure.
-
Fast updates - Cloud-driven platforms enable consistent feature updates.
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Redundancy and Disaster Recovery - Uninterrupted service availability with built-in redundancy and disaster recovery strategies.
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Unified Third-Party Integration - Cloud-centric location services provide a unified interface for integrating seamlessly with third-party applications through APIs.
Understanding CLE, ALE and Meridian
| Services | Location | Functionality | Deployment |
|---|---|---|---|
| Central Location Services | Hosted on HPE Aruba Networking’s Central cloud application | CLE utilizes the strongest Received Signal Strength Indicator (RSSI) signals to determine the location of devices within a wireless network. | Operates in the cloud, providing a scalable and centrally managed solution for location-based services. |
| Analytics Location Engine | Virtual Machine - Server | ALE, like CLE, uses the strongest RSSI signals for device location. ALE is designed for real-time location tracking and analytics within a customer’s own infrastructure. | ALE is deployed on-premises, offering businesses more control over their location data and analytics. |
| Meridian | Cloud | Uses Bluetooth Low Energy (BLE) for indoor navigation and location-based services. | Typically integrated with Aruba wireless infrastructure. |
1.2 - Wi-Fi analytics solutions
Presence analytics
This solution is designed to help businesses and organizations gain insights into how people move within physical spaces, such as retail stores, airports, offices, and other locations. By leveraging data from Wi-Fi networks, presence analytics offers a wealth of information that helps retailers answer important questions and make informed decisions.
Presence Analytics Dashboard on Central
Presence analytics functions by analyzing over-the-air data that is captured by HPE Aruba Networking Access Points. When a Wi-Fi-enabled device (such as a smartphone or tablet) comes within range of the access point, the client device sends out probe requests to discover available networks. These probe requests can be captured by CLE for Presence Analytics.
To learn more about Presence Analytics including how to monitor and configure metrics and thresholds, refer to the Presence Analytics Central page.
Location analytics
By using a trilateration algorithm, the Central Location Engine utilizes data from the APs to precisely determine the client’s location on the floor plan, enabling detailed location analytics.
REST API response showing X, Y coordinates of a wireless device
1.3 - Architecture
High-level architecture and workflow
Access Points transmit the RSSI of wireless devices and neighboring Access Points to the CLE an integral component of Central, through HTTPS on port 443. CLE processes the RSSI information from Access Points to calculate device locations. Subsequently, RSSI is distributed to the Presence Analytics dashboard within Central and the computed device location data is sent to the APIs and the data store. The architecture that supports the functionality of the Central Location Engine resides primarily within the cloud, specifically Central, at a high level for location engine operations.
Architectural Diagram
Workflow
By following this workflow, the location engine can effectively handle changes in Access Point placement and new floor plans, and provide accurate client location information for various applications, including real-time tracking and visualization through the Floor Plan manager.
Diagram of expected workflow for utilizing CLE
Floorplan The floorplan manager on Central allows the user to upload the map file and provide information to accurately scale the map.
APs placed on the map Once Access Points are placed on the map, APs will transmit RSSI data to the Location Engine.
Central Location Engine The Location Engine processes the incoming RSSI data and calculates the location of the clients.
APIs CLE publishes the location data to streaming services that can be used by third-party applications and systems for gaining contextual insights.
Hazelcast CLE efficiently writes data into Hazelcast, a real-time data platform, ensuring data integrity and accessibility.
VisualRF VisualRF initiates a query to Hazelcast for location data upon receiving an API call from the UI in the backend.
Floor Plan View (UI) The Floor Plan View (UI) elevates user experience and displays client locations on the floorplan.
Security
Central places a strong emphasis on security, ensuring that administrators have a wide range of protective features to keep their networks safe and sound. The platform delivers robust security measures. For detailed insights into Central’s security features, refer to the Central Security Overview page.
One of Central’s security approaches involves addressing the evolving landscape of device security. Central employs anonymization by facilitating the hashing of client MAC addresses. When enabled, anonymization ensures the anonymity of client identities by employing a one-way hash function. It is important to note that the same hash will consistently correspond to the same client, maintaining a unique yet secure identifier. For added flexibility and privacy, administrators can configure the system to change the “secret key” used for generating hashes at customizable intervals, such as weekly or monthly.
Data retention
Central is not designated to store historical location data. The database is specifically designed to provide an instantaneous view rather than an aggregated perspective, showcasing the current distribution of associated clients on the floorplan. It is important to note that the time-to-live (TTL) for any location data related to a device is approximately 17 minutes.
Accuracy
The client’s location is determined by analyzing the RSSI detected by Access Points, considering the maximum four strongest RSSI values on the same channel.
Considering the prerequisites are met, the typical accuracy of location calculations is in the range of 5-7 meters.
Impact of MAC address randomization
Most mobile device vendors use random MAC addresses during probe requests as a privacy-enhancing feature to protect the user’s identity and location while scanning for Wi-Fi networks.
Central excludes unassociated devices that use random MAC address data from the data analysis. Central, however, does monitor and record data for associated clients using random MAC addresses.
Before AOS 8.7.1.5, all clients using randomized MAC addresses were subject to monitoring, and their data was recorded. However, starting from AOS 8.7.1.5 onwards, and in AOS 10, random MAC addresses are handled at the AP as follows:
- AP filters random MAC addresses seen from probe request frames and discards them. As a result, location-based services do not have visibility for these MAC addresses.
- Random MAC addresses & legitimate MAC addresses seen from management frames other than probe requests will be stored and forwarded by AP.
- Random MAC addresses & legitimate MAC addresses coming from data frames and control frames such as Block ACK will be stored and forwarded by AP. These frames typically indicate connected clients.
The analytics trends and metrics from client devices using MAC address randomization are still relevant for customers to leverage. Since the focus of Presence Analytics is on aggregate trends and insights and not on individual clients, the impact would be minimal for trends observed over some time. There is close to zero impact of MAC address randomization on trends involving associated/connected client devices.
MAC randomization will not impact the insights provided by Presence Analytics. Only metrics such as dwell time, visitor, and passer-by may be minimally impacted.
In the case of an iPhone, the device needs to meet these four conditions for using a randomized MAC address while probing:
- Wi-Fi must be turned on, but the device is not associated with an actual Wi-Fi service.
- The phone needs to be in sleep mode. iPhones go into sleep mode when all the services in the phone are inactive, and not just when the screen is turned off.
- Location Services set to off in the Privacy & Security settings.
- Cellular data must be turned off.
As all these conditions need to be met, there may be a much lower percentage of devices using randomized MAC addresses on the network.
1.4 - Design and deployment considerations
Network design
Some network design considerations are essential for a location-ready network deployment. The detection of a wireless device (client) by a minimum of three access points is required for the computation of the X and Y coordinates of the client. The client’s location is established based on the RSSI (signal strength) detected by access points, using the four strongest RSSI values on the same channel.
In general, having a good density and proper placement of APs that detect the clients increases the likelihood of more precise device location. To learn more about the accuracy, refer to the Accuracy section.
AP placement
Most non-location-ready deployments are designed such that APs are placed in the inner spaces of the floor plan. APs are generally not placed on the perimeters or corners since their coverage cells would bleed outside the floor, which may not be necessary as the WLAN, in most cases, is not required to serve clients outside the floor boundaries.
In a location-ready network, APs are not only placed in the center spaces but also spread across the perimeters and corners of the floor. This helps in improving location accuracy as it increases the likelihood that a device at any coordinate on the floor is seen by more than three APs for trilateration at better signal strength.
Ideal AP Placement
Distance between the access points
Utilize the grid line functionality within Central to optimize the AP layout, ensuring consistent spacing in all directions. Maintaining a recommended 10-15-meter gap between APs is advised, allowing the grid lines to be configured accordingly.
Grid Line Feature
Minimum RSSI and AP separation
The distance between APs can impact the location accuracy of a wireless client. Radio signals are subject to the inverse square law, which for this purpose means that every time the distance between the signal generator (client) and the signal receiver (AP) doubles, the received signal power, sometimes referred to as received signal strength indicator (RSSI), will be quartered. Once the received signal has diminished to a certain point, typically around -65 dBm received at the AP, the ability to determine a specific distance based on the signal has diminished to the point of uselessness. Too much distance between access points means that accurately locating client devices will be difficult or result in incorrect positioning.
For accurate trilateration of a client within an area, the recommendation is for APs to be placed so that at least three APs can hear the client at -65dBm or better. This will usually correlate to the APs being separated by 40-50 feet but placed no more than 60 feet apart.
Air monitors
Air Monitors are APs deployed in a mode specifically dedicated to the purpose of listening to the Wi-Fi environment, allowing for more data to be collected.
An access point should be spending as many cycles as possible to serve WLAN clients, and so the AP may capture data frame RSSI from associated clients, as both the AP and clients exchange data on the same channel. However, for the same AP to capture data frame RSSI from clients associated with other APs, the AP must go off-channel to listen on the same channel where the clients are exchanging data frames. For instance, if AP1 serves client X on channel 1, and AP2 serves client Y on channel 11, the probability of AP1 switching to channel 11 simultaneously while client Y transmits data is statistically low. An Air Monitor scans channels more aggressively than an AP, and has a higher likelihood of picking up data frame RSSI from both channels 1 and 11, contributing more data to location computations.
For a deployment that demands analytics concerning associated devices, the incorporation of a combination of APs and AMs (for example, one AM for every four to five APs) is advised. For additional information on setting an AP to monitor mode, refer to AOS10 documentation for AOS10 APs and Instant AP Radio Mode - Monitor for Instant APs.
Best practice summary
In summary, the best practices for an installation that provides the best location results are:
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Deploy the APs with a sufficient density for trilateration within the entirety of the coverage area.
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Make sure to deploy APs at the edges of the coverage area.
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Deploy access points meant to be used in Air Monitor mode, in the prescribed ratio.
- Using Air Monitors is especially important for analytics around associated devices that don’t have a high usage pattern.
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When testing Central Location Services, use enough devices to get accurate results.
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When testing with only three APs, the data collected will almost certainly not show the minimum 3 APs needed for trilateration; insufficient data causes the location algorithm to attempt locations based on the Single AP method.
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Better test results will be obtained by using seven to eight APs, with one or two of those deployed as an Air Monitor.
-
Pre-requisites
Before deploying and testing Central Location Services, ensure that the following prerequisites have been met:
-
Central account: An active Central account with online access points; Central serves as the management platform for various network services, including Presence Analytics and Floor Plan Manager. For more details on getting started with Central, visit the Central onboarding and provisioning.
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Upload a floor plan to Central: A floor plan of the area to be tracked must be uploaded to Central and scaled correctly. For more details, refer to the Central documentation on creating, importing, and modifying floor plans.
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Place access points on the map: Position the APs on the uploaded floor plan in Central. This step is crucial for the system to calculate the location of connected wireless devices. Refer to the Central documentation for more details on placing APs on the floor plan.
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Connect clients to the APs from the floor: Connect clients (devices like smartphones, laptops, etc.) to visualize the devices on the Central floor plan. Refer to the Central documentation for more details on creating a WLAN SSID. This allows CLE to track and analyze the client device’s location based on signal strength and other factors.
APs and Clients Connected
Correctly following these prerequisites should allow for contextual information for clients including tracking their locations.
Clients on the floor plan
1.5 - Partner integration
Central offers two types of APIs: Polling APIs for querying specific information and Publish/Subscribe APIs for near real-time updates. The Polling API provides a current snapshot of the network environment. Thereafter, any real-time updates in the network are learned through Publish/Subscribe APIs. Publish/Subscribe APIs are recommended for location updates.
Polling or REST APIs
Among the many Polling APIs supported by Central are the Location, Presence, Geofence and Station REST APIs. These are some of the most commonly utilized APIs by analytics applications, and some of them are elaborated below.
Location API
The Location REST API can be used to access near real-time data around device location, status, and identity within a specific campus, building and its various floors. Customers can securely access the REST API using their credentials and an API key. They can make requests to specific endpoints on the API to retrieve data. For example, to retrieve the location of a specific client, the endpoint would be - /visualrf_api/v1/client_location/{macaddr}.
For more information on how to access the REST API using Central refer to the REST API developer docs.
The output for this message type displays the following information:
| Field | Description |
|---|---|
| X | X coordinate used to determine device location on a map. This value is based on the number of feet or meters if configured, the device is from the top left corner of the floor |
| Y | Y coordinate used to determine device location on a map. This value is based on the number of feet or meters if configured, the device is from the top left corner of the floor |
| units | Can be METERS or FEET |
| error_level | Indicates the radius of horizontal uncertainty, computed at 95%. This means the sum of the probability of potential locations contained in this uncertainty circle represents 95% of the whole venue probability. The unit of this radius is configured and published in the unit field. |
| campus_id | ID identifying a specific campus |
| building_id | ID identifying a specific campus building |
| floor_id | ID identifying a specific building floor |
| associated | Indicates if the device is associated |
| device_mac | Returns presence objects in context of a specific MAC address. For example, AA:BB:CC:DD:EE:FF |
Example response for location REST API
GET https://example.com/visualrf_api/v1/client_location/{macaddr}
{
"location": {
"x": "185.55978",
"y": "35.71597",
"units": "FEET",
"error_level": 61,
"campus_id":
"201610193176__1b99400c-f5bd-4a17-9a1c-87da89941381",
"building_id":
"201610193176__f2267635-d1b5-4e33-be9b-2bf7dbd6f885",
"floor_id":
"201610193176__39295d71-fac8-4837-8a91-c1798b51a2ad",
"associated": true,
"device_mac": "ac:37:43:a9:ec:10"
}
}
Presence API
Retail customers can leverage the REST API data to create relevant applications by utilizing the various endpoints provided for Presence Analytics.
Visitor status
Endpoint: GET https://example.com/presence/v3/visitor_status
-
Utilize this endpoint to retrieve the number of connected and non-connected visitors within a selected time range.
-
If needed, filter data by passing the tag_id to retrieve information for a specific tag/site.
-
Applications can display real-time visitor status, helping staff manage crowd control and understand store occupancy.
{
"data": {
"visitor_status": [
{
"count": 0,
"status": "Connected"
},
{
"count": 0,
"status": "Not Connected"
},
{
"total_visitors": 0
}
]
}
}
Visit frequency
Endpoint: GET https://example.com/presence/v3/visit_frequency
-
Use this endpoint to get details for loyal visitors, including the number of visits made by a customer at a specific site or customer level.
-
Applications can provide insights into customer loyalty, enabling targeted marketing campaigns or loyalty programs.
{
"result": [
{
"bucket": "2-10",
"count": 7
}
],
"status": "success",
"unique_visitor_count": 0
}
Analytics trends for loyal visitors
Endpoint: GET https://example.com/presence/v3/analytics/trends/loyal_visitors
-
Retrieves discrete (samples) values for each time interval from start time to stop time, for presence indicators ( passerby, visitor, draw rate, dwell time) at a site or customer level based on input. The time interval depends on what timeframe is selected and if the sample value is aggregated value for that time interval. If 1 day is selected, the interval is 1 hour and the sample is aggregated value for each one hour.
-
Applications can visualize trends in customer behavior, allowing retailers to optimize store layouts and offerings.
[
{
“allowed_frequency”: [
[
“hourly”,
“daily”,
“weekly”
]
],
“fields”: [
[
“time”,
“loyal_visitors”,
“unique_visitors”
]
],
“samples”: [
[
[
[
1590949800000,
0,
0
],
[
1590953400000,
0,
0
],
[
1590957000000,
0,
0
],
[
1590962400000,
1,
1
]
]
]
]
}
]
Analytics trends for passerby visitors
Endpoint: GET https://example.com/presence/v3/analytics/trends/passerby_visitors
- Similar to the endpoint for loyal visitors, retrieve discrete values for presence indicators for passerby visitors.
- Applications can analyze passerby trends to understand foot traffic and improve store marketing strategies.
{
"datapoints": [
{
"allowed_frequency": [
"hourly"
],
"customer_id": "123456789",
"category": "visitor",
"xunits": "dwelltime",
"yunits": "visitor_count",
"data": {
"count": 35,
"sample": [
[
1591243200000,
2
],
[
1591246800000,
2
],
[
1591250400000,
4
]
]
}
}
]
}
Aggregate values for list of sites
Endpoint: GET https://example.com/presence/v3/insights/sites/aggregates
-
Obtain aggregated/average values for various categories (passerby, visits, draw rate, dwell time, loyal visitors, visitors, connected visitors) at a site or customer level.
-
Applications can present a comprehensive overview of key metrics, aiding in strategic decision-making for each site.
{
"category": "all",
"data": [
{
"drawrate_count": 76,
"dwelltime_count": 67,
"loyal_visitors": 45,
"new_visitors": 35,
"passerby_count": 35,
"site_id": 65,
"site_name": "c2cLab",
"store_id": 65,
"store_name": "c2cLab",
"total_connected": 55,
"visitor_count": 45,
"visits": 65
}
],
"limit": 10,
"offset": 0,
"sort": "asc",
"total": 10
}
Publish-subscribe or streaming APIs
These are also called “Streaming APIs” and serve as the primary tool for subscribing to and receiving real-time updates from Central. They operate on the publish-subscribe model, ensuring that any message published on a specific topic is promptly distributed to all subscribers interested in that topic. These types of APIs find versatile applications in event-driven architecture and real-time monitoring.
Central adopts the Web Socket Secure (WSS) protocol for the Streaming API. In this setup, the publisher is represented by Central, functioning as the WebSocket Server, while the subscriber is the WebSocket client application designed and used by end-point applications.
Streaming APIs are categorized into different topics, some of the most popular ones being the Presence, Location and Geofence topics.
Presence topic
The Presence topic contains details of all associated and unassociated clients detected by Access Points. Event updates for each device are sent once every 60 seconds.
Below are descriptions of crucial parameters contained within the Presence topic that help enable some of the Presence Analytics use cases:
-
Proximity—The pa_proximity_event reports which AP hears the client at the strongest RSSI, indicating which AP is closest to the client/station, and this event will be provided for each device once every 60 seconds.
-
RSSI—The pa_rssi_event contains a list of RSSI information of all unassociated and associated clients/stations, detected by an AP device, and this event will be provided for each device once every 60 seconds.
The streaming API delivers data updates containing the following information for each client device:
| Field | Type | Description |
|---|---|---|
| device_id | string | Indicates the serial number of the AP. |
| sta_eth_mac | mac_address | Indicates the station or client MAC address. |
| radio_mac | mac_address | Indicates the AP radio MAC address from which a client is reported. |
| rssi_val | uint32 | Indicates the RSSI value of the client. |
| associated | Bool | Indicates whether the client is connected or not. |
| ap_eth_mac | mac_address | Indicates the MAC address of an AP from which the client is reported. |
| noise_floor | uint32 | Measures the signal created from the sum of all the noise sources and unwanted signals. |
Example of an event from the Presence topic:
sta_eth_mac {
addr: "B827EBD9CEB2"
}
radio_mac {
addr: "B45D5062FCF0"
}
rssi_val: -66
noise_floor: 92
associated: false
device_id: "CNCFJSS4WF"
ap_eth_mac {
addr: "B45D50CE2FCE"
}
Location topic
A location event is generated when the location of a client (station) is computed using RSSI values periodically reported by the Access Points. The event message includes the coordinates of the client on the Floorplan Manager and geofence notification, which contains information on when a device enters or leaves a geofence region (if Geofence is enabled). Therefore, updating a floor plan with AP location mapping is a prerequisite for the Location Streaming Events.
The output for this message type displays the following information:
| Field | Description |
|---|---|
| target_type | Indicates the type of the device. It contains the following: UNKNOWN—Indicates the type of device as unknown or STATION—Indicates the type of device as Wi-Fi station or client or ROGUE—Indicates the type of device as rogue. |
| loc_algorithm | Indicates the algorithm that populated the X and Y coordinates. It contains the following: TRIANGULATION—Indicates the estimated location of the unknown APs by triangulating location. |
| unit | Indicates the unit of measurement used for floor specifications. It contains the following: METERS—Indicates the floor specifications, measured in meters or FEET—Indicates the floor specifications, measured in feet. |
| sta_location_x | Indicates the X coordinate used to determine the client location on a floormap. This value is based on the number of feet or meters if configured. The station is from the top left corner of the floor map. |
| sta_location_y | Indicates the Y coordinate used to determine the client location on a floormap. This value is based on the number of feet or meters, if configured. The station is from the top left corner of the floormap. |
| error_level | Indicates the radius of the horizontal uncertainty, computed at 95%. This is the sum of the probability of all the potential locations in this uncertainty circle that represents 95% probability of the whole venue. The unit of this radius is configured and published in the unit field. |
| sta_eth_mac | Indicates the MAC address of the client station or rogue. |
| campus_id_string | Indicates the ID number that identifies a specific campus. |
| building_id_string | Indicates the ID number that identifies a specific campus building. |
| floor_id_string | Indicates the ID number that identifies a specific building floor. |
| associated | Indicates whether the client is associated with an AP on the network. For example, true indicates that the client is associated with an AP and false indicates that the client is not associated with an AP. |
Example of the location message:
sta_location_x: 333.671569824
sta_location_y: 220.563110352
error_level: 92
loc_algorithm: ALGORITHM_TRIANGULATION
unit: FEET
sta_eth_mac {
addr: "320323340262p"
}
campus_id_string: "77d249ac35b548cab35fb48a8a1e7dd5__default"
building_id_string: "77d249ac35b548cab35fb48a8a1e7dd5__1"
floor_id_string:
"77d249ac35b548cab35fb48a8a1e7dd5__ee80edb6-0476-4c9e-93a4-d79acd2c6f7a"
target_type: TARGET_TYPE_STATION
associated: false
Geofence notify
The Geofence Notify message returns information when a device enters or leaves a geofence region. Geofence Notify events are only available under the Location topic on Central.
The output for this message type displays the following information:
| Field | Description |
|---|---|
| geofence_event | Notification triggered when a device enters or leaves a GeoFence region- ZONE_IN: The device is inside a GeoFence region or ZONE_OUT: The device is outside a GeoFence region |
| geofence_id | ID number identifying a specific GeoFence region |
| geofence_name | Name of the GeoFence region |
| sta_mac | MAC address of the client station |
| associated | Indicates whether the client is associated with an AP on the network. A value of true indicates that the client is associated with an AP. A value of false indicates that the client is no longer associated with an AP. |
| dwell_time | Amount of time the device must be inside or outside a GeoFence region to trigger a notification |
Decode data for customer location
{'customer_id': '416bc832bc6111ed961e6aa14dbf31f1',
'data': {'associated': False,
'dwell_time': 172,
'geofence_event': 'ZONE_OUT',
'geofence_id':
'NDE2YmM4MzJiYzYxMTFlZDk2MWU2YWExNGRiZjMxZjFfXzU2OTE2ZGUxLTg0MzgtNDNhYi04NTZhLTNkY2QwNDkwNTRjOQ==',
'geofence_name':
'416bc832bc6111ed961e6aa14dbf31f1__Zone-1',
'sta_eth_mac': {'addr': 'IEwDTSRj'}},
'msp_ip': '',
'timestamp': 1699915771139221492,
'topic': 'location'}
Useful resources
-
REST API- Get Started with REST API for Configuration, on-demand polling, and monitoring data via HTTP Requests.
-
Streaming API- Get Started with Streaming API to subscribe to selected topics, get statistics, and state changes over Secure WebSocket (WSS).
-
Webhook - Get Started with Webhooks to integrate external applications and implement actions based on real-time alerts.
1.6 - Troubleshooting
Listed below are some verifications that can be performed while testing the Central Location Services.
Clients not visible on the floor plan
- Ensure that the Clients field is selected.
Navigate to Central Global → Sites → choose the desired site for viewing → click on the displayed view.
Client Field
-
Use the REST API to further verify client information. For more details on REST APIs, refer to the Polling API section.
-
Ensure that Access Point is sending RSSI messages to Central. Use the command
show running-config | include rssi.AP-3-Loc# show running-config | include rssi report-rssi-to-central unassociated-and-associated-clients -
Ensure that the message length exceeds a couple of hundred bytes; otherwise, the IAP is transmitting RSSI for its BSSIDs. Use the command
show log ap-debug | include rssi.AP-3-Loc# show log ap-debug | include rssi Nov 6 15:23:11 awc[6232]: [cloud] wsc: insert queue a message to websocket server, topic iap.rssi, msg_len=10714. Nov 6 15:24:10 awc[6232]: [cloud] wsc: receive a post request from application, topic rssi, data len 13123, ce_ctx , len 0. Nov 6 15:24:10 awc[6232]: [cloud] wsc: insert queue a message to websocket server, topic iap.rssi, msg_len=13136. Nov 6 15:25:10 awc[6232]: [cloud] wsc: receive a post request from application, topic rssi, data len 10629, ce_ctx , len 0. Nov 6 15:25:10 awc[6232]: [cloud] wsc: insert queue a message to websocket server, topic iap.rssi, -
Make sure that the AP has subscribed to RSSI reporting with Central. Use the command
show ap debug msg-subscription.AP-3-Loc# show ap debug msg-subscription Subscription modules List ------------------------- message type Central ALE ------------ ------- --- state FALSE FALSE stat FALSE FALSE rssi TRUE FALSE clarity TRUE FALSE apprf TRUE FALSE trap FALSE FALSE speedtest FALSE FALSE telemetry TRUE FALSE
Clients placed on top of APs
When this scenario is encountered there is a high likelihood that only one or two APs are present on the floor. This is expected behavior for this situation and the recommendation is to consider optimizing AP placement. A minimum of three APs is required for trilateration to work effectively. For more details on the AP placement, refer to the Network Design section.
2 - Open Locate deployment guide
HPE Aruba Networking Open Locate is an initiative designed to standardize and enhance indoor location services across enterprise environments, aiming to improve the accuracy, flexibility, and interoperability of location-based solutions by leveraging multiple positioning technologies. To ensure seamless integration across various platforms, Open Locate also focuses on enabling the HPE Aruba Networking Access Points to broadcast their location, also known as location coordination information (LCI), through APIs and standardized protocols, including Wi-Fi and Bluetooth Low Energy (BLE). This allows third-party applications and ecosystem partners to leverage real-time location data more effectively, driving innovation in asset tracking, indoor positioning, and other location-based services.
The current landscape of Wi-Fi location solutions requires manual placement of APs on a digitized floor plan for a location-aware infrastructure. This can be time-consuming, resource-intensive, and prone to user error. Open Locate and HPE Aruba Networking Central delivers automatic placement of APs on a floor plan, empowering workplace owners to eliminate operational bottlenecks and enhancing their overall efficiency.
A key component of Wi-Fi-based locationing using the Fine Timing Measurement (802.11mc) protocol, which utilizes time-of-flight techniques to measure distances between access points and devices and enhance location accuracy. Support for FTM was introduced with the Wi-Fi 6 family of APs and is available with all AP models introduced since then. To explore use cases and understand how APs can auto-locate themselves to enable highly accurate indoor positioning using Open Locate, watch Delivering Accurate Indoor Location Services at Scale.
To support automatic AP placement the Central floorplan manager facilitates the seamless placement of APs on the floor plan. The floorplan manager forms the foundational layer by anchoring a digital floor plan to geo-referenced map services thereby automatically scaling the floor plan based on latitude and longitude coordinates.
2.1 - Overview
High-level design
When Fine Time Measurement (FTM) is enabled in a site with HPE Aruba Networking Access Points, the following process takes place -
-
The APs engage in the exchange of FTM information.
-
The APs transmit FTM telemetry to HPE Aruba Networking Central.
-
Central performs detailed calculations to determine the location coordination information (LCI).
-
Central pushes the calculated LCI to the APs.
-
If the Advertise Location feature is enabled, APs can broadcast this information, allowing client devices to perform their own location calculations.
The primary components of Open Locate
Licensing
Open Locate is available to New Central customers using AOS-10 based APs with Foundation and/or Advanced AP licenses. Separate licenses are not required for Open Locate.
| Feature/Service | Foundation | Advanced |
|---|---|---|
| Auto-AP placement | Included | Included |
| Open Locate REST API | Included | Included |
| Open Locate Streaming API | Not included | Included |
For more information on subscription licenses, refer to the licensing documentation.
2.2 - Getting started
Prerequisites
To successfully auto-place APs on the floor plan, ensure that the following prerequisite categories are met:
Hardware
-
AP auto-placement is supported for 500, 600 & 700 series APs.
-
A minimum of five APs that support FTM functionality are required to facilitate the auto-locate process, utilizing four anchor APs and requiring at least one additional AP for effective auto-placement.
-
The usage of the 6 GHz band for AP-to-AP and STA-to-AP ranging is currently only supported on the AP-605H & AP-615.
Software
-
Support for FTM is introduced with AOS-10 version 10.5.
-
Support for FTM Monitor mode is introduced with AOS-10 version 10.7.1.
-
Minimum AOS-10 version required for auto placing 700 series APs is 10.7.2.
Configuration
-
Ensure that the APs are provisioned and belong to the same AP group and site on HPE Aruba Networking Central.
-
Geo-Locate the floor on the map must be selected when creating a floorplan. For more details on how to scale the floor, refer to Creating Initial Floor and Building.
Operational
-
Confirm that APs can detect neighboring APs to initiate FTM exchanges, a crucial step for accurate auto-locate functionality. For more details on verifying the FTM telemetry, refer to AP Testing and Verification.
-
APs must operate for at least 24 hours to compute auto-locate data efficiently. During this time, APs scan the RF environment, send FTM requests to each other, and transmit telemetry data to Central.
-
During the Open Locate provisioning phase, all APs must be able to operate on an 80 MHz bandwidth channel; currently, the AP-to-AP and STA-to-AP FTM data needed for location determination is most efficiently obtained using 80 MHz channels.
- For environments where using 80 MHz channels in production is not feasible, FTM Monitor mode can be used.
Configuration steps
Open Locate operation requires two levels of configuration.
- Enabling FTM functionality in Classic Central
- Initiating the auto-locate process in New Central
Enabling FTM
Enable the FTM scan and FTM responder modes in Classic Central.
- FTM scan: To enable the FTM scan, follow the steps at Configuring Automatic Placement of an AP.
Checking the Enable Automatic Placement box activates FTM scanning, and configures the APs to handle FTM tasks 25% of the time reserved for off band channel scanning, that is only valid when no clients are connected and hence it takes up to 24-48 hours to collect FTM data if not using FTM Monitor mode.
Enabling FTM scan mode
- FTM Responder mode: To enable the FTM-responder mode, follow the steps at Configuring Advanced Settings for a WLAN SSID Profile.
Checking the Fine Timing Measurement (802.11 mc) Responder Mode enables FTM capability on the APs and enables FTM communication between APs and stations like phones or laptops.
Enabling FTM responder mode
- Additionally, set 80 MHz channel width: If the deployment does not allow usage of 80 MHz channels, fast forward to FTM Monitor mode configuration.
Otherwise, set the channel bandwidth to 80 MHz by following the steps at Configuring Radio Parameters.
Set the Minimum and Maximum bandwidth to 80 MHz. A wider bandwidth improves FTM exchanges and reduces multipath effects, leading to better accuracy in location-based applications.
Bandwidth configuration on 5 GHz band radio
After completing the above steps, please allow a waiting period of 24 hours, or 48 hours if AirMatch is enabled. For Open Locate functionality to operate effectively, sufficient FTM data is required from APs. Failure to transmit adequate FTM data to the cloud may result in the inability to auto-locate.
The time required to gather the required FTM data is 15-30 mins when FTM Monitor mode is used.
Initiating auto locate
The floorplan manager serves as the starting point for initiating location-aware services within New Central. In this dashboard, site properties, including buildings and floors, can be created, and floor plans can be uploaded and configured. After creating the floors, devices can be assigned to the floors so the system can begin the process of auto-placing the APs. To access and create the floorplan, refer to New Central Floorplan Manager techdocs.
Once the floorplan is ready, we need to assign devices to the floorplan before we auto place the APs.
Assigning devices to floorplans
To assign devices to specific floorplans, complete the steps at Assigning Devices to Floorplans in Floorplan Manager.
Automatic AP deployment
To start placing APs automatically on the floorplan, follow the steps at Automatic AP Placement.
FTM monitor mode
FTM Monitor mode activates a special monitor mode on the 5 GHz band. While in FTM Monitor mode, the APs on the specified floor sequentially scan each 80 MHz channel within the 5GHz band to collect FTM ranging data. Once the required inter-AP ranging information is gathered, the APs are returned to their original bandwidth settings. This approach significantly reduces the time required to collect accurate location data, enhancing overall system efficiency in environments where continuous 80 MHz operation isn’t feasible.
Prerequisites for utilizing FTM Monitor mode:
-
FTM Monitor mode currently only operates on the 5 GHz radio band. Support for 6 GHz radio is on the roadmap.
-
APs on the given floor-id must be ‘ftm-monitor’ capable, running AOS 10.7.1 or greater.
-
APs must be configured to support FTM and assigned to a floor in New Central.
-
APs on the given floor-id must be configured in the same regulatory domain (ie. configured with the same country code).
-
APs on the given floor must be synchronized with the same NTP server.
Configuration
Endpoint: POST https://example-central-server.com/network-monitoring/v1alpha1/sitemaps/{site-id}/floors/{floor-id}/ftm-scans/start
Parameters:
site-id: Site ID where the FTM scan is required.floor-id: Starts an FTM scan for the given floor-id.
The site-id and floor-id can be found by navigating to the floor plan in new Central and inspecting the URL.
Example response of “Start FTM Monitor mode” POST API:
{
"scanStartTime": "2024-12-11T22:17:33.574Z",
"id": "2174534000",
"result": "SUCCESS",
"errorMessage": null
}
Description of the fields in the response:
| Field | Description |
|---|---|
| scanStartTime | Scheduled scan start time, will be 10 minutes after enabling monitor mode. |
| id | Unique system-generated identifier. |
| result | Status of the FTM scan. |
| errorMessage | Error details in the case that a scan could not be scheduled. |
The result returned will be one of the following:
SUCCESS- Scan was successfully created and is now PENDINGFTM_SCAN_ALREADY_ACTIVE- Scan already active on the given floor-id. Only one scan is allowed per floor at any given time. Scan cannot be started.NOT_ENOUGH_APS- There were not enough ftm-monitor enabled APs on the given floor-id. Scan cannot be started.REGULATORY_DOMAIN_MISMATCH- Not all APs are configured with the same country code. Scan cannot be started.NO_VALID_CHANNELS- Based on the user configured country code and channel selections, there are no available channels to run the FTM scan on. Scan cannot be started.ERROR- There was an error starting the scan, see errorMessage for details of the error.
Note down the id provided in the response to check the status using the next API call.
Verification
The scan typically takes between 15 to 30 minutes to complete. During this process, the APs sequentially scan each 80 MHz channel within the 5GHz band to collect FTM ranging data. Throughout the scan, all APs operate in monitor mode.
Use the following REST API to verify the scan process.
Endpoint: GET https://example-central-server.com/network-monitoring/v1alpha1/sitemaps/{site-id}/floors/{floor-id}/ftm-scans/{ftm-scan-id}
Parameters:
site-id: Site ID where the FTM scan is required.floor-id: Starts an FTM scan for the given floor-id.ftm-scan-id: Retrieved from the ftm-scan-start API.
Example response of “Status of the FTM Monitor mode” GET API:
{
"total": 1,
"next": null,
"items": [
{
"dwellTimeMillis": 90000,
"updatedAt": "2024-12-11T22:12:32.682Z",
"serialNumbers": [
"CNMSKY0000",
"CNMSKY0000",
"PHPNKY0000",
"PHPNKY0000",
"PHPNKY0000",
"PHPNKYJ000",
"PHPNKYJ000",
"PHPNKYJ000",
"PHPNKYJ000"
],
"errorMessage": null,
"scannedChannels": [
{
"primaryChannelList": [
36,
52,
100,
116,
132,
149
],
"bandwidth": "CHANNEL_BW_80MHZ",
"band": "RADIO_BAND_5GHZ"
}
],
"estimatedCompletionTime": "2024-12-11T22:32:33.574Z",
"floorId": "9f8ba9ee-c866-4654-82b1-xxxxxx",
"siteId": "791830000",
"status": "SCHEDULED",
"scanStartTime": "2024-12-11T22:17:33.574Z",
"id": "2174534000",
"type": "FTM_SCAN",
"createdAt": "2024-12-11T22:12:32.682Z"
}
],
"count": 1
}
Descriptions of the fields in the response:
| Field | Description |
|---|---|
| dwellTimeMillis | The number of milliseconds that the scan spends on each channel to attempt FTM ranging to other nearby APs. |
| updatedAt | Timestamp of the latest ftm scan state change |
| serialNumbers | Serial Numbers of the APs involved in FTM scanning |
| errorMessage | Error message (if applicable). Indicates the reason for the scan failure |
| primaryChannelList | List of all the channels being used for the FTM scans |
| Bandwidth | Channel bandwidth used for the FTM scans |
| Band | Radio used for the FTM scan |
| estimatedCompletionTime | The estimated scan completion time and network restoration |
| floorId | Floor ID of the given floor |
| siteId | Site ID of the given floor |
| status | FTM scan status |
| scanStartTime | Estimated start time of the ftm scan and associated network outage |
| id | Unique system-generated identifier for an ftm scan |
| type | String indicating the document type |
| createdAt | Timestamp of the initial scan request |
The status returned will be one of the following:
Pending: Scan request was accepted and awaiting scheduling by the system.Aborted: Scan request was delayed and could not be scheduled before the calculated start time.Scheduled: Scan request has been scheduled by the system and is awaiting the scan start time.Scanning: Scan is currently running (wifi network connectivity is currently unavailable).Complete: Scan has completed.
Once the FTM Monitor mode scan has completed, proceed with initiating the auto locate process.
2.3 - AP testing and verification
If there are telemetry or other FTM data issues, navigate to the AP and execute specific show commands to pinpoint the problem.
Verifying AP configuration
To verify that the configuration has been successfully pushed to the AP, run the command show running-config | include FTM. Ensure that both ftm-scan-enable and ftm-responder-enable are present, indicating that FTM is enabled and capable of facilitating FTM exchanges between APs.
Example:
AP-AOS10# show running-config | include ftm
ftm-scan-enable
ftm-responder-enable
Additionally, you can check if the GPS setting is enabled.
AP-AOS10# show running-config
gps
state enable
Analyzing FTM details
To examine FTM data, use the command show ap range scanning-results. This command provides a display of all successful FTM measurements between peer APs within the last 20 minutes. The output includes the following information, which proves useful for debugging the channel:
-
Average RTT: Presented in nanoseconds, to be later converted into meters.
-
Average RSSI: If the RSSI increments, it indicates that the AP is farther away, resulting in higher RTT.
-
Average STD: The standard deviation can indicate the quality of the results.
-
Channel: The AP predominantly selects an 80 MHz channel, which is optimal for accurate FTM. Choosing 80 MHz provides more resolution and better accuracy, making it the recommended option for improved results.
Example:
AP-AOS10# show ap range scanning-results
Ranging results
---------------
Peer-bssid Average RTT Average rssi (dbm) Average std (100ps) Channel Number of valid RTTs Number of FTMs Antenna RTTs/Init-mask/Resp-mask Time Stamp
---------- ----------- ------------------ ------------------- ------- -------------------- -------------- ------- ------------------------ ----------
74:9e:75:41:17:30 69 60 10 36E 15 16 0 69,0,0 69,0,0 69,0,0 69,0,0 68,0,0 66,0,0 69,0,0 69,0,0 70,0,0 70,0,0 70,0,0 70,0,0 69,0,0 70,0,0 68,0,0 2024-03-21 11:47:01
74:9e:75:41:4f:70 114 64 4 36E 16 16 0 114,0,0 113,0,0 113,0,0 114,0,0 114,0,0 114,0,0 114,0,0 113,0,0 113,0,0 114,0,0 114,0,0 114,0,0 114,0,0 114,0,0 113,0,0 114,0,0 2024-03-21 11:47:15
74:9e:75:41:7c:70 137 61 53 36E 15 16 0 127,0,0 141,0,0 141,0,0 138,0,0 139,0,0 140,0,0 139,0,0 126,0,0 141,0,0 140,0,0 126,0,0 140,0,0 141,0,0 140,0,0 138,0,0 2024-03-21 11:47:30
00:4e:35:e9:19:50 146 69 14 36E 13 16 0 147,0,0 145,0,0 144,0,0 144,0,0 145,0,0 144,0,0 144,0,0 146,0,0 147,0,0 147,0,0 147,0,0 147,0,0 147,0,0 2024-03-21 11:48:13
00:4e:35:e9:12:d0 143 64 7 36E 15 16 0 142,0,0 143,0,0 142,0,0 142,0,0 144,0,0 143,0,0 144,0,0 142,0,0 142,0,0 144,0,0 143,0,0 143,0,0 144,0,0 142,0,0 142,0,0 2024-03-21 11:48:27
74:9e:75:41:0e:60 147 71 3 36E 14 16 0 147,0,0 147,0,0 147,0,0 147,0,0 147,0,0 147,0,0 147,0,0 146,0,0 147,0,0 147,0,0 147,0,0 146,0,0 147,0,0 148,0,0 2024-03-21 11:48:39
74:9e:75:41:4f:70 115 66 3 36E 16 16 0 114,0,0 114,0,0 115,0,0 114,0,0 115,0,0 115,0,0 115,0,0 114,0,0 115,0,0 115,0,0 114,0,0 115,0,0 115,0,0 114,0,0 113,0,0 115,0,0 2024-03-21 11:48:56
74:9e:75:41:7c:70 138 62 3 36E 16 16 0 138,0,0 138,0,0 138,0,0 138,0,0 138,0,0 138,0,0 138,0,0 137,0,0 138,0,0 137,0,0 137,0,0 137,0,0 137,0,0 138,0,0 138,0,0 138,0,0 2024-03-21 11:49:11
Total:8
About 20 mins to age out
Reading FTM summary
Run the command show ap range scanning-summary. This command can be used for debugging purposes, it allows you to determine if an AP is rejecting FTM data, providing insights into potential issues within the setup. For instance, if the Fail Scan counter continues to rise or matches the Scan counter, it indicates that the AP is unable to reach or communicate with the neighboring AP indicated by the Peer-bssid.
Example:
AP-AOS10# show ap range scanning-summary
Ranging History
---------------
Peer-bssid Total Scan Fail Scan
---------- ---------- ---------
74:9e:75:41:3d:d0 4877 4800
74:9e:75:41:17:30 9119 637
00:4e:35:e9:12:d0 8930 82
74:9e:75:41:27:20 6467 3289
74:9e:75:41:40:70 5524 4231
74:9e:75:41:4f:70 8838 919
00:4e:35:e9:19:50 8957 798
74:9e:75:41:7c:70 9068 687
74:9e:75:41:0e:60 8522 123
d0:d3:e0:ef:61:50 4914 4844
Total:10
AP-AOS10#
Analyzing FTM history
Use the command show ap range scanning-history, which provides the following fields:
-
Peer-bssid: BSSID of neighboring APs.
-
Last scan result, with possible values:
- 0: Success
- 1: AP driver is engaged in other tasks (busy), which occurs as the AP changes channels and requires time for detection.
- 2: Unreachable target BSSID, indicating a lack of connection with the peer AP.
It is normal to observe occasional failures and achieving a 100% success rate may not always be possible.
Example:
AP-AOS10# show ap range scanning-history
Ranging History
---------------
Peer-bssid Last Scan Result Time Stamp
---------- ---------------- ----------
00:4e:35:e9:12:d0 0 2023-12-17 18:28:18
74:9e:75:41:27:20 0 2023-12-17 18:28:51
74:9e:75:41:3d:d0 0 2023-12-17 18:29:29
d0:d3:e0:ef:61:50 0 2023-12-17 18:30:02
74:9e:75:41:27:20 0 2023-12-17 18:30:33
74:9e:75:41:3d:d0 0 2023-12-17 18:31:06
d0:d3:e0:ef:61:50 0 2023-12-17 18:31:41
74:9e:75:41:0e:60 2 2023-12-17 18:32:08
74:9e:75:41:0e:60 2 2023-12-17 18:32:22
74:9e:75:41:0e:60 0 2023-12-17 18:32:35
d0:d3:e0:ef:61:50 0 2023-12-17 18:49:10
Total:11
For result, 0: success; 1: fail because of driver busy; 2: unreachable target BSSID
Verifying cloud telemetry
Activate the debug log by executing the command debug-log-to-cloud. Subsequently, wait for 5 minutes, as the AP sends the telemetry to the cloud every 5 minutes. Then use the command show log stats-to-cloud ftmscan to confirm that the AP is indeed sending the FTM telemetry. This command enables you to verify details such as the BSSIDs, radios and channels of peer APs, and whether the AP is actively engaging in FTM exchanges, providing additional diagnostic information.
Example:
AP-AOS10# debug-log-to-cloud
AP-AOS10# show log stats-to-cloud ftmscan
2023-12-17 19:07:07 T PeerFTMReport Stats: peer_mac[74:9e:75:41:3d:d0], radio_mac[74:9e:75:41:40:70], channel[124], band[1], bandwidth[1], ftm_avg_rssi[49]
2023-12-17 19:07:07 ... ftm_avg_rtt[73], ftm_min_rtt[70], ftm_max_rtt[74], ftm_std_dev[13], ftm_num_samples[16], ftm_valid_samples[16], chain_mask[0]
2023-12-17 19:07:07 ... time_stamp[1702867028]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[70], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[74], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[74], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[74], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T PeerFTMReport Stats: peer_mac[00:4e:35:e9:12:d0], radio_mac[74:9e:75:41:40:70], channel[44], band[1], bandwidth[1], ftm_avg_rssi[79]
2023-12-17 19:07:07 ... ftm_avg_rtt[327], ftm_min_rtt[323], ftm_max_rtt[330], ftm_std_dev[21], ftm_num_samples[16], ftm_valid_samples[16], chain_mask[0]
2023-12-17 19:07:07 ... time_stamp[1702867066]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[323], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[330], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[326], init_mask[0], resp_mask[0]
2023-12-17 19:07:07 T FTMMeasurement Stats: ftm_rtt[328], init_mask[0], resp_mask[0]
Verifying GPS telemetry
Confirm the availability of GPS telemetry for the 600 series APs by using the command show ap gps summary. This command displays GPS information on the AP, allowing you to assess whether the AP is obtaining GPS latitude and longitude values. In cases where the AP is situated indoors and may face challenges in acquiring GPS location, checking this information becomes particularly useful for the APs.
Example:
AP-AOS10# sh ap gps summary
GPS Information
---------------
Type Position (Latitude,Longitude) Altitude
---- ------------------------------ --------
$GNGGA 37.385870, -121.987549 34.2 M
$GNRMC 37.385870, -121.987549 N/A
$GNGLL 37.385870, -121.987549 N/A
GPS Configuration
------------------
Current Dynamic Model
---------------------
stationary
AP-AOS10#
If you do not observe any FTM or GPS data, ensure that the AP can detect neighboring APs by executing the command show ap monitor ap-list. This command provides a list of AP neighbors and indicates whether the AP is FTM capable or not in the FTM support column at the right most side.
Additionally, validate whether the AP is scanning different channels by using the command show ap arm scan-times.
Example:
AP-AOS10# show ap monitor ap-list
Monitored AP Table
------------------
bssid essid band/chan/ch-width/ht-type ap-type transition-type confirmed dos dt/mt ut/it encr nstas avg-snr curr-snr avg-rssi curr-rssi wmacs ibss cl-delay pathloss bss-color partial bss color bss color disabled FTM support snr/rssi-age snr/rssi-report-age
----- ----- -------------------------- ------- --------------- --------- --- ----- ----- ---- ----- ------- -------- -------- --------- ----- ---- -------- -------- --------- ----------------- ------------------ ----------- ------------ -------------------
74:9e:75:41:0e:60 Open-Locate-Network 5GHz/36E/80MHz/HE valid valid no disable 1280967/1280967 10/9 wpa2-psk-aes 0 25 25 70 70 0 no 0 0 21 false false yes 9 2
74:9e:75:41:40:70 Open-Locate-Network 5GHz/36E/80MHz/HE valid valid yes disable 1280964/1280964 7/6 wpa2-psk-aes 0 12 12 82 83 0 no 256 96 25 false false yes 6 2
00:4e:35:e9:19:50 Open-Locate-Network 5GHz/36E/80MHz/HE valid valid yes disable 1280964/1280964 7/6 wpa2-psk-aes 0 34 34 60 61 0 no 256 76 37 false false yes 6 2
74:9e:75:41:27:20 Open-Locate-Network 5GHz/36E/80MHz/HE valid valid yes disable 1280964/1280964 7/6 wpa2-psk-aes 0 31 31 63 64 0 no 256 75 3 false false yes 6 2
00:4e:35:e9:12:d0 Open-Locate-Network 5GHz/36E/80MHz/HE valid valid yes disable 1280964/1280964 2/1 wpa2-psk-aes 0 32 33 62 62 0 no 256 78 45 false false yes 1 2
74:9e:75:41:3d:d0 Open-Locate-Network 5GHz/36E/80MHz/HE valid valid yes disable 1280952/1280952 7/6 wpa2-psk-aes 0 7 7 87 88 0 no 244 99 26 false false yes 6 2
Additionally, validate whether the AP is scanning different channels by using the command show ap arm scan-times.
AP-AOS10# sh ap arm scan-times
Channel Scan Time
-----------------
channel band assign-time(ms) scans-attempted scans-rejected scans-deferred dos-scans flags timer-tick
------- ---- --------------- --------------- -------------- -------------- --------- ----- ----------
34 5GHz 19580 178 0 0 0 DYp 2261483
36 5GHz 1102671440 3604 0 0 0 DVACLYFETSp 2265270
38 5GHz 182270 1657 0 0 0 DYp 2261857
40 5GHz 377630 3433 0 0 0 DVACUYBPTSJp 2264996
42 5GHz 0 543 1086 0 0 DYp 0
44 5GHz 404030 3673 0 0 0 DVACLYFBTSMp 2265003
46 5GHz 202620 1842 0 0 0 DAYp 2265025
112 5GHz 348370 3167 0 0 0 DACUYXSJp 2265117
116 5GHz 402270 3657 0 0 0 DACLYXSMp 2265126
120 5GHz 402050 3655 0 0 0 DACUYXSJp 2265129
124 5GHz 375320 3412 0 0 0 DACLYXSMp 2265178
128 5GHz 356400 3240 0 0 0 DACUYXSJp 2265182
132 5GHz 365860 3326 0 0 0 DACLYXSMp 2265192
136 5GHz 345840 3144 0 0 0 DACUYXSJp 2265197
140 5GHz 317350 2885 0 0 0 DACLYXSMp 2265210
144 5GHz 345840 3144 0 0 0 DACUYXSp 2265238
149 5GHz 396110 3601 0 0 0 DACLYSp 2265222
153 5GHz 399520 3632 0 0 0 DACUYSJp 2265232
Channel Flags:
D: All-Reg-Domain Channel, C: Reg-Domain Channel, A: Activity Present, Z: Rare Channel
V: Valid, T: Valid 20MHZ Channel, F: Valid 40MHz Channel, P: Valid 40MHZ Channel Pair
E: Valid 80/80+80MHz Channel (First 20M), B: Belongs to valid 80/80+80MHz channel, G: Valid 160MHz Channel (First 20M), Q: Belongs to valid 160MHz channel
O: DOS Channel, K: DOS 40MHz Upper, H: DOS 40MHz Lower
R: Radar detected in last 30 min, X: DFS required, q: Zero Wait DFS, t: Zero Wait DFS Test Mode
N: Split Channel Scan J: Unconventional Scan 40MHz Above, M: Unconventional Scan 40MHz Below, L: Scan Secondary Above
U: Scan Secondary Below, Y: Scan 80MHz, W: Scan 160MHz, b: Out-of-band scan Channel (valid only for dual 5GHz mode)
p: Pooling Preference, S: Transmit Allowed, u: UTB filtered channel, x: Preferred Scan Channel (6GHz Only)
WIF Channel Scanning State.
Current opmode: Default
-----------------------------------------------------
Scan mode channel current-scan-band current-scan-channel last-dos-channel timer-milli-tick next-scan-milli-tick (jitter) scans (Tot:Rej:Eff(%):Last intvl(%))
--------- ------- ----------------- -------------------- ---------------- ---------------- ----------------------------- ------------------------------------
Moderate 36E 5GHz 161E 0 2265270000 2265273560 (166) 192086:2290:98:100
Moderate 6 2.4GHz 8+ 0 2265270000 2265270560 (165) 449753:1:99:100
Default 69S 5GHz 0 0 2265270000 0 (0) 1:0:100:0
UTB filter Info:
------------------
Type Version A1 Version A2 Version A3 Version A4 Channel Spacing
---- ---------- ---------- ---------- ---------- ---------------
BAW 3 3 3 3 50 MHz
UTB filter results:
---------------------
Band selected Last blocked channel
------------- --------------------
6GHz 0
2.4 - Partner integration
Currently, New Central offers three REST APIs pertaining to Open Locate.
NBAPI for device locations
Endpoint: GET https://example.com/network-monitoring/v1alpha1/devices/with-location?
Parameter: filter=siteId eq ‘012931’
-
This endpoint provides a list of devices with available location data, either in (x/y) coordinates or latitude/longitude or both. Use this endpoint to obtain the count of devices with longitude and latitude values for a given site.
-
The filter requires at least the siteId parameter. Additionally, you can use floorId and buildingId as supported fields for more specific filtering.
-
Using this endpoint, you can easily fetch a list of devices with precise location information, such as latitude and longitude, associated with a specific site. By specifying the site_id, you can focus on devices within a particular building or floor, streamlining your monitoring efforts and enhancing facility management.
{
"data": {
"listConsolidatedDeviceLocationsNBAPI": {
"deviceLocationSummary": {
"deviceLocations": [
{
"id": "CNXXXXXXXX",
"type": "ACCESS_POINT",
"createdAt": "2024-04-16T17:24:44.055Z",
"siteId": "791852196",
"floorId": "adbbb348-3c3f-4043-b10c-c7a01522c57f",
"buildingId": "8270en8z2xiwsljdkqlwi931ue",
"tenantId": "iwpmdowier03qrjasdklweifqiwdjw",
"ipv4": "x.x.x.x",
"ipv6": "",
"mac": "AA:BB:CC:DD:EE:FF",
"model": "AP-535",
"deployment": "Standalone",
"status": "ONLINE",
"consolidatedLocation": {
"source": "ADMIN_SPECIFIED",
"timestamp": "2024-04-24T16:35:09.087Z",
"cartesianCoordinates": {
"unit": "METERS",
"x_position": 4.133599281311035,
"y_position": 53.278629302978516
},
"center": {
"longitude": -121.98750299786495,
"latitude": 37.385833803552615
},
"lciUncertainty": null,
"altitude": null
}
}
],
"count": 1,
"total": 1,
"next": null
}
}
}
}
Retrieve data for all devices with no location on the mentioned site
Endpoint: GET https://example.com/network-monitoring/v1alpha1/devices/without-location?
Parameter: filter=siteId eq ‘012931’
-
Utilize this endpoint to retrieve a list of devices lacking location data for a specified site.
-
The filter requires at least the siteId parameter. Additionally, you can use floorId and buildingId as supported fields for more specific filtering.
-
This endpoint is particularly useful for users troubleshooting issues related to devices without location information on a given site.
{
"data": {
"listConsolidatedDeviceLocationsNBAPI": {
"deviceLocationSummary": {
"deviceLocations": [
{
"id": "CNXXXXXXX",
"type": "GATEWAY",
"createdAt": "2024-04-19T20:27:53.566Z",
"siteId": "791852196",
"floorId": null,
"buildingId": null,
"tenantId": "416bc832bc6111ed961e6aa14dbf31f1",
"ipv4": "172.30.32.21",
"ipv6": "",
"mac": "AA:BB:CC:DD:EE:FF",
"model": "A7008",
"deployment": "Cluster",
"status": "ONLINE",
"consolidatedLocation": null
}
],
"count": 1,
"total": 1,
"next": null
}
}
}
}
Retrieve data for a particular device using serial number
Endpoint: GET https://cnx-apigw-internal2.central.arubanetworks.com/network-monitoring/v1alpha1/devices/<SERIAL>/location?siteId=<siteId>
-
Utilize this endpoint to retrieve data for a particular device.
-
This endpoint is particularly useful for users troubleshooting issues related to devices without location information on a given site.
{
"data": {
"getDeviceLocationDetails": {
"id": "CNXXXXXXX",
"type": "ACCESS_POINT",
"createdAt": "2024-04-28T16:06:15.403Z",
"siteId": "791852196",
"floorId": "adbbb348-3c3f-4043-b10c-c7a01522c57f",
"buildingId": "7695ba72-8663-474d-8979-bb567e9cf83d",
"tenantId": "416bc832bc6111ed961e6aa14dbf31f1",
"ipv4": "10.1.1.1",
"ipv6": "",
"mac": "AA:BB:CC:DD:EE:FF",
"model": "AP-635",
"deployment": "Standalone",
"status": "ONLINE",
"gpsLocation": null,
"autoPlacedLocation": null,
"adminSpecifiedLocation": {
"source": "ADMIN_SPECIFIED",
"timestamp": "2024-04-24T16:35:09.087Z",
"cartesianCoordinates": {
"unit": "METERS",
"x_position": 4.133599281311035,
"y_position": 53.278629302978516
},
"center": {
"longitude": -121.98750299786495,
"latitude": 37.385833803552615
},
"lciUncertainty": null,
"altitude": null
},
"consolidatedLocation": {
"source": "ADMIN_SPECIFIED",
"timestamp": "2024-04-24T16:35:09.087Z",
"cartesianCoordinates": {
"unit": "METERS",
"x_position": 4.133599281311035,
"y_position": 53.278629302978516
},
"center": {
"longitude": -121.98750299786495,
"latitude": 37.385833803552615
},
"lciUncertainty": null,
"altitude": null
}
}
}
}
2.5 - FAQ
- Are GPS enabled APs required for AP auto placement?
-
No, GPS enabled APs are not a requirement. AP auto placement can be achieved using FTM.
- Is AP auto placement possible with 500 series APs?
-
500 series APs can be auto-placed on a floor plan. The integrated FTM radio in the AP helps to facilitate auto-locate. With the use of the Central floorplan manager and the anchor APs, 500 series APs can be auto-placed on a floorplan.
- Will GPS enabled Anchor APs be automatically placed on the floor plan?
-
Currently, floorplan manager does not automatically place Anchor APs with GPS on floor plan.
- Does my Central account need to be allow listed, to try open locate?
-
No additional allow list is required other than access to New Central.
- How does the system auto place the APs on the correct floor?
-
The user must manually assign the APs to the appropriate floor.
- Does FTM work on a 6 GHz band?
-
That depends on the AP model. Currently AP-605H & AP-615 support AP-to-AP and STA-to-AP, with support for the 700 series APs coming soon.
- Why is 80 MHz wide channel required for AP auto placement?
-
An 80MHz wide channel is essential because larger bandwidth enables efficient exchange of AP-to-AP or STA-to-AP FTM data, ensuring optimal performance and reliability.
- How long does data collection take with FTM monitor mode?
-
FTM monitor mode takes between 15 – 30 minutes to gather the FTM data required for AP auto-placement.
- Will FTM monitor mode disrupt Wi-Fi connectivity?
-
Enabling an FTM scan will temporarily disrupt Wi-Fi connectivity on the 5 GHz radio. During the scan, all connected Wi-Fi clients will experience an outage for the duration of the system-calculated scan. Once the scan is complete, the network will automatically restore connectivity.
- Does an FTM Monitor mode scan need to be rerun after adding new APs to the floor plan?
-
Yes. However, if an AP is deleted, rerunning the FTM Monitor mode is not necessary, but the deleted AP should be unassigned from the floor plan.