Wi-fi access point performance management

Patent metadata

Field	Value
Publication number	US-2016373306-A1
Application number	US-201615180975-A
Country	US
Kind code	A1
Filing date	Jun 13, 2016
Priority date	Jun 22, 2015
Publication date	Dec 22, 2016
Grant date	—

Abstract

Wi-Fi access point performance management may include receiving a session analytic record related to a plurality of wireless access points, and analyzing the session analytic record related to the plurality of wireless access points to determine a root cause of at least one malfunctioning node related to at least one of the plurality of wireless access points, and predict failure of the at least one of the plurality of wireless access points. Further, a graphical user interface display or a report may be generated. The graphical user interface display or the report may be related to the determination of the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points, and prediction of the failure of the at least one of the plurality of wireless access points.

First claim

What is claimed is:

1 . A Wi-Fi access point performance management system comprising:
a performance monitor and predictor, executed by at least one hardware processor, to
receive a session analytic record related to a plurality of wireless access points,
analyze the session analytic record related to the plurality of wireless access points to
determine a root cause of at least one malfunctioning node related to at least one of the plurality of wireless access points, and
predict failure of the at least one of the plurality of wireless access points; and

an insight generator, executed by the at least one hardware processor, to generate at least one graphical user interface display or at least one report related to the
determination of the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points, and
prediction of the failure of the at least one of the plurality of wireless access points.

2 . The Wi-Fi access point performance management system according to claim 1 , wherein the at least one graphical user interface display or the at least one report related to the determination of the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points includes
a decision tree that identifies the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points.

3 . The Wi-Fi access point performance management system according to claim 2 , wherein the decision tree includes color coding to identify different latency ranges of the at least one malfunctioning node related to the at least one of the plurality of wireless access points.

4 . The Wi-Fi access point performance management system according to claim 1 , wherein the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points is based on at least one of
a determination of a number of events on a wireless LAN gateway related to the at least one of the plurality of wireless access points as a primary session, a determination of a number of events on the wireless LAN gateway related to the at least one of the plurality of wireless access points as a secondary session, a determination of whether a primary wireless LAN gateway is identical to a secondary wireless LAN gateway, and a determination of a type of firmware installed on the at least one of the plurality of wireless access points.

5 . The Wi-Fi access point performance management system according to claim 1 , wherein the at least one graphical user interface display or the at least one report related to the prediction of the failure of the at least one of the plurality of wireless access points includes
a plot of the at least one of the plurality of wireless access points relative to longitude and latitude information related to the at least one of the plurality of wireless access points, wherein the plot of the at least one of the plurality of wireless access points includes color coding to identify different types of predictions of the failure of the at least one of the plurality of wireless access points.

6 . The Wi-Fi access point performance management system according to claim 1 , wherein the at least one graphical user interface display related to the prediction of the failure of the at least one of the plurality of wireless access points includes
an option to select a performance status of the at least one of the plurality of wireless access points for a current time duration and a future time duration.

7 . The Wi-Fi access point performance management system according to claim 1 , further comprising:
a data aggregator, executed by the at least one hardware processor, to aggregate data from a plurality of data sources related to the at least one of the plurality of wireless access points to generate the session analytic record, wherein the plurality of data sources include at least one of
device generated session data that represents Wi-Fi session records obtained from a plurality of wireless devices connected to the at least one of the plurality of wireless access points,
wireless LAN gateway data that represents gateway logs related to the at least one of the plurality of wireless access points, and
access point, node, and core health data that represents health check logs related to the at least one of the plurality of wireless access points.

8 . The Wi-Fi access point performance management system according to claim 1 , wherein the performance monitor and predictor is to determine the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points by
implementing recursive partitioning to determine a decision tree model to generate a decision tree that identifies the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points.

9 . The Wi-Fi access point performance management system according to claim 8 , wherein the performance monitor and predictor is to implementing recursive partitioning to determine the decision tree model to generate the decision tree that identifies the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points by
identifying, from a plurality of possible independent variables, a reduced set of independent variables that is significantly related to latency of the at least one malfunctioning node related to the at least one of the plurality of wireless access points, and using the identified reduced set of the independent variables to determine the decision tree model to generate the decision tree that identifies the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points.

10 . The Wi-Fi access point performance management system according to claim 8 , wherein the performance monitor and predictor is to implementing recursive partitioning to determine the decision tree model to generate the decision tree that identifies the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points by
identifying, from a plurality of possible independent variables, an independent variable that divides data from the session analytic record into two groups, and applying data division to each group of the two groups until a predetermined condition is met.

11 . The Wi-Fi access point performance management system according to claim 1 , wherein the performance monitor and predictor is to predict failure of the at least one of the plurality of wireless access points by
implementing machine learning of a predetermined time duration of the session analytic record related to the plurality of wireless access points, analyzing, based on the machine learning of the predetermined time duration of the session analytic record related to the plurality of wireless access points, a further predetermined time duration of the session analytic record related to the plurality of wireless access points, and predicting, based on the analysis of the further predetermined time duration of the session analytic record related to the plurality of wireless access points, failure of the at least one of the plurality of wireless access points for a future predetermined time duration associated with the further predetermined time duration.

12 . The Wi-Fi access point performance management system according to claim 11 , wherein the future predetermined time duration represents a time

Assignees

• Accenture Global Services Ltd

Inventors

• Saha Vivek
• Chakraborty Arnab
• Sehgal Sachin
• Jain Ankit
• Bertrand Eric
• Kumar Amit

Classifications

• H04L41/06

  Management of faults, events, alarms or notifications · CPC title

• H04W88/08

  Access point devices · CPC title

• H04W24/04

  Arrangements for maintaining operational condition · CPC title

• H04W16/22

  Traffic simulation tools or models · CPC title

• H04L41/145 Primary

  involving simulating, designing, planning or modelling of a network · CPC title