Title: An incentive mechanism with privacy protection and quality evaluation in mobile crowd computing

Authors: Hao Long; Shukui Zhang; Li Zhang; Jin Wang

Addresses: School of Computer Science and Technology, Soochow University, Suzhou 215006, China; School of Information and Electrical Engineering, Xuzhou College of Industrial Technology, Xuzhou 221002, China ' School of Computer Science and Technology, Soochow University, Suzhou 215006, China; Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China ' School of Computer Science and Technology, Soochow University, Suzhou 215006, China ' School of Computer Science and Technology, Soochow University, Suzhou 215006, China; Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China

Abstract: In order to achieve good service quality for mobile crowd computing (MCC), incentive mechanism need to attract more users to participate in the task while avoiding leakage of privacy. We proposed an incentive mechanism with privacy protection and quality evaluation (IMPPQE). Combining the advantages of offline and online incentive mechanisms, we design improved two-stage auction to select the winners, while protecting participants 'privacy. Finally, the sensing reports are evaluated by quantitative calculation to ensure the objectivity of evaluation. Extensive simulations show that our proposed method can improve the efficiency and utility of MCC and obtain higher satisfaction rate of data quality.

Keywords: mobile crowd computing; privacy protection; quality evaluation; incentive mechanism; two-stage auction; offline; online; incentive mechanisms; service quality; sensing reports; crowdsourcers.

DOI: 10.1504/IJAHUC.2019.098484

International Journal of Ad Hoc and Ubiquitous Computing, 2019 Vol.30 No.3, pp.187 - 198

Received: 13 Jul 2017
Accepted: 23 Apr 2018
Published online: 25 Mar 2019 *

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