Mobile Crowd Sensing: Incentive Mechanism Design

This SpringerBrief investigates and reviews the development and variousapplications of mobile crowd sensing (MCS). With the miniaturization ofsensors and the popularity of smart mobile devices, MCS becomes apromising solution to efficiently collect different types of information, suchas traffic conditions, air quality, temperature and more, which is coveredin this brief. The features, novelty, and applications of MCS are elaborated indetail in this brief. In addition, the basic knowledge about auction theoryand incentive mechanism designis introduced. Incentive mechanism design plays a key role in the success of MCS. With anefficient incentive mechanism, it is possible to attract enough mobile users to participate in a MCS system, thus enough highquality sensing data can be collected. Two types of incentive mechanismswith different system models are introduced in this brief. One is thereputation-aware incentive mechanism, and another is the social-awareincentive mechanism. This SpringerBrief covers the significance and theimpacts of both reputation and social relationship of smartphone users(SUs) in MCS and presents extensive simulation results to demonstrate the goodperformance of the proposed incentive mechanisms compared with someexisting counterparts. The target audience for this SpringerBrief is researchers and engineers inthe area of wireless communication and networking, especially those whoare interested in the mobile crowd sensing or incentive mechanism design.Meanwhile, it is also intended as a reference guide for advanced levelstudents in the area of wireless communications and computer networks.