A participant selection method for crowdsensing under an incentive mechanism

Abstract

With the rich set of embedded sensors installed in smartphones, a novel applications is emerged, i.e., Mobile Crowdsensing (MCS). Generally speaking, in a MCS application, each participant often gets equal reward. In some situations, this assumption is unfair for some valuable participants. With this observation, a novel framework is investigated in this paper with an incentive mechanism, instead of assuming that each participant should get equal reward. As a result, our method is validated by experiment enabled by real-life datasets.