期刊
JOURNAL OF SENSORS
卷 2017, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2017/5757125
关键词
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资金
- National Natural Science Foundation of China [61572261, 61472193, 61373138]
- Natural Science Foundation of Jiangsu Province [BK20141429]
- Postdoctoral Foundation [2016T90485]
- Sixth Talent Peaks Project of Jiangsu Province [DZXX-017, JNHB-062]
- Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks [WSNLBZY201518]
Mobile crowd sensing (MCS) is a novel sensing paradigm which can sense human-centered daily activities and the surrounding environment. The impact of mobility and selfishness of participants on the data reliability cannot be ignored in most mobile crowd sensing systems. To address this issue, we present a universal system model based on the reverse auction framework and formulate the problem as the Multiple Quality Multiple User Selection (MQMUS) problem. The quality-aware incentive mechanism (QAIM) is proposed to meet the quality requirement of data reliability. We demonstrate that the proposed incentive mechanism achieves the properties of computational efficiency, individual rationality, and truthfulness. And meanwhile, we evaluate the performance and validate the theoretical properties of our incentive mechanism through extensive simulation experiments.
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