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Issue No. 03 - Jul.-Sep. (2018 vol. 17)
ISSN: 1536-1268
pp: 47-57
Xinglin Zhang , South China University of Technology
Lingyu Liang , South China University of Technology
Chengwen Luo , Shenzhen University
Long Cheng , Virginia Tech
Ubiquitous smartphones with various built-in sensors have boosted development of many crowdsensing applications in recent years. To achieve good performance with this class of applications, a large number of participating users with sensed data are needed. Two important considerations for improving user participation in crowdsensing are the incentive mechanism for motivating users to contribute their sensing capabilities, and the techniques for protecting user privacy. In this article, we survey the works that address these issues by integrating privacy techniques with incentive mechanisms. We also advocate two future research directions to enhance incentive mechanisms for mobile crowdsensing.
Task analysis, Sensors, Data privacy, Couplings, Smart phones, Cryptography

X. Zhang, L. Liang, C. Luo and L. Cheng, "Privacy-Preserving Incentive Mechanisms for Mobile Crowdsensing," in IEEE Pervasive Computing, vol. 17, no. 3, pp. 47-57, 2018.
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