Detecting transient vs. perpetual network behavioral patterns using machine learning

    公开(公告)号:US10547518B2

    公开(公告)日:2020-01-28

    申请号:US15880600

    申请日:2018-01-26

    Abstract: In one embodiment, a network assurance service that monitors a network detects a pattern of network measurements from the network that are associated with a particular network problem. The network assurance service tracks characteristics of the detected pattern over time. The network assurance service uses the tracked characteristics of the detected pattern over time as input to a machine learning-based pattern analyzer. The pattern analyzer is configured to determine whether the detected pattern is a perpetual or transient pattern in the network, and the pattern analyzer is further configured to detect anomalies in the characteristics of the pattern. The network assurance service initiates a change to the network based on an output of the machine learning-based pattern analyzer.

    BSS COLOR ASSIGNMENT IN INFRASTRUCTURE WLANS
    43.
    发明申请

    公开(公告)号:US20190335354A1

    公开(公告)日:2019-10-31

    申请号:US16505105

    申请日:2019-07-08

    Abstract: In one embodiment, a basic service set (BSS) color assignment apparatus includes a processor, and a memory to store data used by the processor, wherein the processor is operative to calculate, for each one BSS color of a plurality of BSS colors, a BSS color assignment metric at least based on use of the one BSS color in at least one neighboring BSS neighboring a BSS of an access point in an infrastructure wireless local area network (WLAN), yielding a plurality of BSS color assignment metrics for the BSS of the access point, select one of the plurality of BSS color assignment metrics associated with an optimal choice BSS color of the plurality of BSS colors for the BSS of the access point and assign the optimal choice BSS color to the BSS of the access point.

    Motion detection for passive indoor positioning system

    公开(公告)号:US10349216B1

    公开(公告)日:2019-07-09

    申请号:US16103781

    申请日:2018-08-14

    Abstract: An enterprise system configures access point devices at an enterprise location to communicate with a location determination system. The location determination system receives wireless signal attributes of user computing devices broadcasting Wi-Fi signal data at the enterprise location from one or more access point devices. For a particular time window, the location determination system determines aggregated features of received wireless signal data across all access point devices, and classifies each of the user computing devices as moving or stationary by applying the wireless signal data to a model. For each of the user computing devices determined to be moving, the location determination system calculates a respective position of the user computing device based on the wireless signal data. For each of the user computing devices determined to be stationary, the location determination system does not calculate a respective position of the respective user computing device.

    Systems and methods for determining locations of access points

    公开(公告)号:US11910351B2

    公开(公告)日:2024-02-20

    申请号:US18056991

    申请日:2022-11-18

    CPC classification number: H04W64/003 H04W16/18

    Abstract: Systems, methods, and computer-readable media may determine location-related data for a plurality of access points located in an area in communication with a network by determining that a plurality of access points in a network are associated with a same geographical area including identifying, from among the plurality of access points, a first access point associated with the geographical area, determining first location-related data for the first access point, determining second location-related data for a second access point of the plurality of access points, the second access point being interior to the first access point within the network based at least in part on a determination that the second access point has at least a threshold number of the neighbor access points, and exchanging ranging data indicative of a first relative distance between the first access point and the second access point, the ranging data based at least in part on ranging message exchange measurements.

    Deriving highly interpretable cognitive patterns for network assurance

    公开(公告)号:US11049033B2

    公开(公告)日:2021-06-29

    申请号:US15869639

    申请日:2018-01-12

    Abstract: In one embodiment, a network assurance system that monitors a network labels time periods with positive labels, based on the network assurance system detecting problems in the network during the time periods. The network assurance system assigns tags to discrete portions of a feature space of measurements from the monitored network, based on whether a particular range of values in the feature space has a threshold probability of occurring during a positively-labeled time period. The network assurance system determines a set of the assigned tags that frequently co-occur with the positively-labeled time periods in which problems are detected in the network. The network assurance system causes performance of a mitigation action in the network based on the set of assigned tags that frequently co-occur with the positively-labeled time periods.

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