Incentive Mechanism Design for Mobile Crowdsensing Considering Social Networks

Abstract

Based on the popularity of intelligent embedded devices, mobile crowdsensing emerged as a new paradigm of crowdsourcing perception. However, it often faces the problem of low data quality caused by the insufficient number of participators. In this paper, we propose an incentive mechanism for mobile crowdsensing considering social networks. Our mechanism takes into account the social networks of mobile users, which is not only to reward users for data contribution, but also for solicitation behavior, so as to expand the number of participators under budget constraints, and to select users with high-capability. We prove by the theory that the proposed mechanism satisfies individual rationality, truthfulness, solicitation incentives, and budget effectiveness. Besides, the simulation results show that the mechanism can effectively motivate users' long-term participation and high-quality data collection.