Abstract | ||
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Crowdsourced wireless community networks enable individual users to share their private Wi-Fi access points (APs) with each other, hence can achieve a large Wi-Fi coverage with a low deployment cost. This paper presents the first Wi-Fi sharing mechanism design for the community network operator under incomplete information, where the quality of each user-provided Wi-Fi access is his private information. Specifically, we propose a contract-based incentive mechanism, where the operator offers a set of contract items to users, each consisting of a Wi-Fi access price (that a user can charge others who access his AP) and a subscription fee (that a user needs to pay the operator). Different from prior contract mechanisms for wireless networks, here each user's best contract choice depends not only on his private information, but also on other users' choices. This greatly complicates the contract design, as the operator needs to analyze the equilibrium choices of all users, rather than the best choice of each single user. We derive the feasible contract that guarantees the user participation and truthful information disclosure under the equilibrium. Our analysis shows that a higher type user (who provides a higher quality access) is more likely to choose a higher price and subscription fee. Simulation results further show that when increasing the ratio of higher type users in the system, the operator can gain more profit, while counter-intuitively, offering lower prices and subscription fees for all users. |
Year | DOI | Venue |
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2016 | 10.1109/WIOPT.2016.7492950 | 2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) |
Field | DocType | Citations |
Wireless network,Community network,Wireless,Incentive,Computer science,Computer security,Computer network,Mechanism design,Contract management,Private information retrieval,Complete information | Conference | 7 |
PageRank | References | Authors |
0.52 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qian Ma | 1 | 36 | 6.52 |
Lin Gao | 2 | 427 | 21.64 |
Y. F. Liu | 3 | 454 | 30.59 |
Jianwei Huang | 4 | 3643 | 260.73 |