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A Participant Selection Method for Crowdsensing Under an Incentive Mechanism

  • Wei Shen
  • Shu Li
  • Jun Yang
  • Wanchun Dou
  • Qiang Ni
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 201)

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.

Keywords

Mobile crowdsensing Participant selection 

Notes

Acknowledgment

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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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Wei Shen
    • 1
  • Shu Li
    • 1
  • Jun Yang
    • 1
  • Wanchun Dou
    • 1
  • Qiang Ni
    • 2
  1. 1.State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina
  2. 2.InfoLab21, School of Computing and CommunicationsLancaster UniversityLancashireUK

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