A location-based Incentive Algorithm for Consecutive Crowd Sensing Tasks

Crowd Sensing (CS) is a sensing paradigm that takes advantage from the increasing use of mobile smart devices and their capabilities for sensing and computation. In this paper, we present an incentive mechanism for encourage user participation in schemes of sensing that requires consecutive and regular sampling. The proposed mechanism uses a recurrent reverse auction that no only takes into account the sample price, but also the participant's location. We show that our mechanism achieves an optimal budget utilization while guarantees area coverage and a sufficient number of participants in every round.