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System and Method for Wi-Fi Hotspot Recommendation

IP.com Disclosure Number: IPCOM000234942D
Publication Date: 2014-Feb-17
Document File: 2 page(s) / 22K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is an algorithm that uses personal and public historical and real-time Wi-Fi performance and health statistics to provide recommendations for locations with the best Wi-Fi access on specific days and times.

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System and Method for Wi-Fi Hotspot Recommendation

A method is needed for mobile users to identify a location for Wi-Fi access at which the signal is strong and reliable for an extended period.

The novel contribution is an algorithm that uses personal and public historical and real-time Wi-Fi performance and health statistics to provide recommendations for locations with the best Wi-Fi access on specific days and times. The algorithm is provided additional insight through the collection of performance and health statistics by both the Wi-Fi client mobile device and the Wi-Fi router that has a direct connection to the internet. This solution provides a unique combination of Wi-Fi mobile device and Wi-Fi router performance and health statistics to feed into a Wi-Fi hotspot recommendation algorithm.

To implement the system and method for Wi-Fi hotspot recommendation:

1. Mobile device connects to Wi-Fi router, begins collecting performance and health statistics in real time, stores data locally, and sends statistics to remote cloud service on an interval. The statistics collected include:


A. Service Set Identifier (SSID)


B. Geolocation


C. Time of day


D. Signal strength


E. Uplink/downlink speeds


F. Latency


G. Uptime


H. WI-FI connection failures


I. Internet connection failures

J. Access restrictions (e.g., a proxy is established in a location that requires the user to pay for the service)

2. Wi-Fi router device collects performance and health statistics in real time and sends statistics to remote cloud service on an interval. The statistics collected include the same as listed in Step 1, and:


A. Number of connected devices


B. Bandwidth utilization/saturation

3. Remote cloud service receives, aggregates, and stores all statistics from both mobile and Wi-Fi router devices in a reporting database

4. Statistics are stored per Wi-Fi hotspot, using SSID and geolocation as a unique identifier (geo required to handle different locations with same SSID)

The recommendation algorithm follows for using public statistics with a cloud service:


1. User input:

A. Where is the user staying? (e.g., automated via geolocation, or based on user input) - Default to current geolocation

B. What does the user want to do? (e.g., games, work, email, web browsing, etc.) - Default to web browsing


C. What time does the user want to go? (e.g., calendar ent...