Paper Info
Title
Technical Report for "Incentivizing Wi-Fi Network Crowdsourcing: A Contract Theoretic Approach".
Abstract
Crowdsourced wireless community network enables individual users to share their private Wi-Fi access points (APs) with each other, hence can achieve a large Wi-Fi coverage with a small deployment cost via crowdsourcing. This paper presents a novel contract-based incentive framework to incentivize such a Wi-Fi network crowdsourcing under incomplete information (where each user has certain private information such as mobility pattern and Wi-Fi access quality). In the proposed framework, the network operator designs and offers a set of contract items to users, each consisting of a Wi-Fi access price (that a user can charge others for accessing his AP) and a subscription fee (that a user needs to pay the operator for joining the community). Different from the existing contracts in the literature, in our contract model each useru0027s best choice depends not only on his private information but also on other usersu0027 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 first derive the feasible contract that guarantees the usersu0027 truthful information disclosure based on the equilibrium analysis of user choice, and then derive the optimal (and feasible) contract that yields the maximal profit for the operator. Our analysis shows that a user who provides a higher Wi-Fi access quality is more likely to choose a higher Wi-Fi access price and subscription fee, regardless of the user mobility pattern. Simulation results further show that when increasing the average Wi-Fi access quality of users, the operator can gain more profit, but (counter-intuitively) offer lower Wi-Fi access prices and subscription fees for users.
Year
Venue
Field
2018
arXiv: Computer Science and Game Theory
Mathematical optimization,Software deployment,Incentive,Crowdsourcing,Operations research,Operator (computer programming),Wireless community network,Private information retrieval,Technical report,Mathematics,Complete information
DocType
Volume
Citations 
Journal
abs/1802.09391
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Qian Ma1366.52
Lin Gao253250.89
Y. F. Liu345430.59
Jianwei Huang43643260.73