Title
A Game-Theoretic Analysis of User Behaviors in Crowdsourced Wireless Community Networks.
Abstract
A crowdsourced wireless community network can effectively alleviate the limited coverage issue of Wi-Fi access points (APs), by encouraging individuals (users) to share their private residential Wi-Fi APs with each other. This paper presents the first study on the users' joint membership selection and network access problem in such a network. Specifically, we formulate the problem as a two-stage dynamic game: Stage I corresponds to a membership selection game, in which each user chooses his membership type; Stage II corresponds to a set of network access games, in each of which each user decides his WiFi connection time on the AP at his current location. We analyze the Subgame Perfect Equilibrium (SPE) systematically, and study whether and how best response dynamics can reach the equilibrium. Through numerical studies, we further explore how the equilibrium changes with the users' mobility patterns and network access evaluations. We show that a user with a more popular home location, a smaller travel time, or a smaller network access evaluation is more likely to choose a specific type of membership called Bill. We further demonstrate how the network operator can optimize its pricing and incentive mechanism based on the game equilibrium analysis in this work.
Year
DOI
Venue
2015
10.1109/WIOPT.2015.7151093
Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Field
DocType
Volume
Computer science,Wireless distribution system,Best response,Computer network,Subgame perfect equilibrium,Wireless ad hoc network,Sequential game,Wireless community network,Nash equilibrium,Access network
Journal
abs/1503.01539
Citations 
PageRank 
References 
8
0.54
5
Authors
4
Name
Order
Citations
PageRank
Qian Ma1366.52
Lin Gao253250.89
Y. F. Liu345430.59
Jianwei Huang43643260.73