A Novel Incentive Mechanism Based on Reputation and Trust for Mobile Crowd Sensing Network

Abstract

In view of the negative influence of selfish nodes in Mobile Crowd Sensing, this paper proposes an incentive mechanism based on Reputation and Trust (RTM). Firstly, this paper analyzes the reputation incentive mechanism and trust incentive mechanism. Secondly, this paper constructs an incentive model, which is divided into user selection module and reward implementation module, and defines the service quality factor, link reliability factor and time heat factor as the pricing factors to calculate comprehensive pricing to reward service providers. Finally, the experimental results show that with successful package delivery rate, average delay and energy consumption as evaluation parameters, in terms of motivating nodes to participate in network cooperation and suppressing the selfish behavior of selfish nodes, it is proved that RTM has better effect and feasibility than reputation incentive mechanism and trust incentive mechanism.