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

被引:0
|
作者
Long, Hao [1 ,2 ]
Zhang, Shukui [1 ,3 ]
Zhang, Li [1 ]
Wang, Jin [1 ,3 ]
机构
[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou 215006, Peoples R China
[2] Xuzhou Coll Ind Technol, Sch Informat & Elect Engn, Xuzhou 221002, Jiangsu, Peoples R China
[3] Soochow Univ, Prov Key Lab Comp Informat Proc Technol, Suzhou 215006, Peoples R China
基金
中国国家自然科学基金;
关键词
mobile crowd computing; privacy protection; quality evaluation; incentive mechanism; two-stage auction; offline; online; incentive mechanisms; service quality; sensing reports; crowdsourcers; REPUTATION; FRAMEWORK; EFFICIENT;
D O I
10.1504/IJAHUC.2019.098484
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:187 / 198
页数:12
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