Title
A Truthful Incentive Mechanism for Online Recruitment in Mobile Crowd Sensing System.
Abstract
We investigate emerging mobile crowd sensing (MCS) systems, in which new cloud-based platforms sequentially allocate homogenous sensing jobs to dynamically-arriving users with uncertain service qualities. Given that human beings are selfish in nature, it is crucial yet challenging to design an efficient and truthful incentive mechanism to encourage users to participate. To address the challenge, we propose a novel truthful online auction mechanism that can efficiently learn to make irreversible online decisions on winner selections for new MCS systems without requiring previous knowledge of users. Moreover, we theoretically prove that our incentive possesses truthfulness, individual rationality and computational efficiency. Extensive simulation results under both real and synthetic traces demonstrate that our incentive mechanism can reduce the payment of the platform, increase the utility of the platform and social welfare.
Year
DOI
Venue
2017
10.3390/s17010079
SENSORS
Keywords
Field
DocType
mobile crowd sensing system,online incentive,truthful mechanism,single-parameter mechanism
Sensing system,Rationality,Telecommunications,Incentive,Electronic engineering,Human–computer interaction,Engineering,Payment,Online auction,Cloud computing
Journal
Volume
Issue
ISSN
17
1.0
1424-8220
Citations 
PageRank 
References 
4
0.44
2
Authors
6
Name
Order
Citations
PageRank
Xiao Chen141.11
Min Liu233540.49
Yaqin Zhou3244.25
Zhongcheng Li48312.63
Shuang Chen561.46
Xiangnan He63064128.86