A Participant Selection Method for Crowdsensing Under an Incentive Mechanism
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.
KeywordsMobile crowdsensing Participant selection
This paper is partially supported by the National Science Foundation of China under Grant No. 91318301 and No. 61672276, the Key Research and Development Project of Jiangsu Province under Grant No. BE2015154, BE2016120, the Collaborative Innovation Center of Novel Software Technology, Nanjing University and the EU FP7 CROWN project under grant number PIRSES-GA-2013-610524.
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