US 11,895,511 B2
Intelligent monitoring systems and methods for Wi-Fi metric-based predictions for cloud-based Wi-Fi networks
Nipun Agarwal, Fremont, CA (US); William J. McFarland, Portola Valley, CA (US); Yoseph Malkin, San Jose, CA (US); Na Hyun Ha, Cupertino, CA (US); Yusuke Sakamoto, San Jose, CA (US); Sai Venkatraman, Santa Clara, CA (US); Sandeep Eyyuni, Sunnyvale, CA (US); Rohit Thadani, San Carlos, CA (US); and Adam Hotchkiss, Dallas, TX (US)
Assigned to PLUME DESIGN, INC., Palo Alto, CA (US)
Filed by Plume Design, Inc., Palo Alto, CA (US)
Filed on Mar. 9, 2021, as Appl. No. 17/195,788.
Application 17/195,788 is a continuation in part of application No. 17/071,015, filed on Oct. 15, 2020.
Application 17/071,015 is a continuation in part of application No. 16/897,371, filed on Jun. 10, 2020.
Application 16/897,371 is a continuation of application No. 15/782,912, filed on Oct. 13, 2017, granted, now 10,687,227, issued on Jun. 16, 2020.
Prior Publication US 2021/0195442 A1, Jun. 24, 2021
Int. Cl. H04W 24/02 (2009.01); H04L 43/0876 (2022.01); H04L 41/0253 (2022.01); H04L 41/12 (2022.01); H04L 41/14 (2022.01); H04L 43/045 (2022.01); H04L 41/22 (2022.01); H04W 84/12 (2009.01); H04L 41/147 (2022.01); H04L 43/0882 (2022.01); H04L 43/0888 (2022.01); H04L 43/0894 (2022.01)
CPC H04W 24/02 (2013.01) [H04L 41/0253 (2013.01); H04L 41/12 (2013.01); H04L 41/14 (2013.01); H04L 41/22 (2013.01); H04L 43/045 (2013.01); H04L 43/0876 (2013.01); H04L 41/147 (2013.01); H04L 43/0882 (2013.01); H04L 43/0888 (2013.01); H04L 43/0894 (2013.01); H04W 84/12 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable storage medium having computer readable code stored thereon for programming a computer to perform steps of:
obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks, each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks;
aggregating and filtering the Wi-Fi network data for the plurality of Wi-Fi networks;
analyzing the aggregated and filtered data, and determining, based on the analysis, correlations made between previous actions by the customers and the Wi-Fi network data, the correlations include a call-in rate to at least one of alarm conditions, coverage and congestion of the plurality of Wi-Fi networks, a classification of the customers, a number of previous call-ins made by the customers, a number of devices connected to the plurality of Wi-Fi networks, a service type associated with each of the plurality of Wi-Fi networks, and a number of nodes within each of the plurality of Wi-Fi networks;
predicting, based on the determined correlations, customer action for each of the customers, the predicted customer action corresponding to each customer's respective Wi-Fi network, the predicted customer action is a call-in to the one or more service providers; and
displaying a list of the predicted customer actions.