A game-theoretic analysis of user behaviors in crowdsourced wireless community networks
Refereed conference paper presented and published in conference proceedings

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AbstractA 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) of the two-stage game, and analyze whether and how best response dynamics can reach the equilibrium. We further numerically 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 the Bill membership type. We further demonstrate how the network operator can optimize its pricing and incentive mechanism based on the equilibrium analysis.
All Author(s) ListMa Q., Gao L., Liu Y.-F., Huang J.
Name of Conference2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2015
Start Date of Conference25/05/2015
End Date of Conference29/05/2015
Place of ConferenceMumbai
Country/Region of ConferenceIndia
Pages355 - 362
LanguagesEnglish-United Kingdom

Last updated on 2021-19-09 at 23:54