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Quality-Aware Incentive Mechanism for Mobile Crowd Sensing
2017
Journal of Sensors
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
doi:10.1155/2017/5757125
fatcat:lq3ochnvfzgrjgvxkcvr5kbose