Quality-Aware Incentive Mechanism for Mobile Crowd Sensing

Ling-Yun Jiang, Fan He, Yu Wang, Li-Juan Sun, Hai-ping Huang
2017 Journal of Sensors  
Mobile crowd sensing (MCS) is a novel sensing paradigm which can sense human-centered daily activities and the surrounding environment. The impact of mobility and selfishness of participants on the data reliability cannot be ignored in most mobile crowd sensing systems. To address this issue, we present a universal system model based on the reverse auction framework and formulate the problem as the Multiple Quality Multiple User Selection (MQMUS) problem. The quality-aware incentive mechanism
more » ... AIM) is proposed to meet the quality requirement of data reliability. We demonstrate that the proposed incentive mechanism achieves the properties of computational efficiency, individual rationality, and truthfulness. And meanwhile, we evaluate the performance and validate the theoretical properties of our incentive mechanism through extensive simulation experiments.
doi:10.1155/2017/5757125 fatcat:lq3ochnvfzgrjgvxkcvr5kbose