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Sensors 2016, 16(4), 481; doi:10.3390/s16040481

Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems

1
Department of Computer Science, Georgia State University, Atlanta, GA 30302, USA
2
Department of Computer Science and Information Systems, University of North Georgia, Dahlonega, GA 30597, USA
3
School of Computer Science, Shaanxi Normal University, Xi’an 710119, China
*
Author to whom correspondence should be addressed.
Academic Editor: Yu Wang
Received: 10 February 2016 / Revised: 22 March 2016 / Accepted: 30 March 2016 / Published: 6 April 2016
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Abstract

With the emergence of new technologies, mobile devices are capable of undertaking computational and sensing tasks. A large number of users with these mobile devices promote the formation of the Mobile Crowdsourcing Systems (MCSs). Within a MCS, each mobile device can contribute to the crowdsourcing platform and get rewards from it. In order to achieve better performance, it is important to design a mechanism that can attract enough participants with mobile devices and then allocate the tasks among participants efficiently. In this paper, we are interested in the investigation of tasks allocation and price determination in MCSs. Two truthful auction mechanisms are proposed for different working patterns. A Vickrey–Clarke–Groves (VCG)-based auction mechanism is proposed to the continuous working pattern, and a suboptimal auction mechanism is introduced for the discontinuous working pattern. Further analysis shows that the proposed mechanisms have the properties of individual rationality and computational efficiencies. Experimental results suggest that both mechanisms guarantee all the mobile users bidding with their truthful values and the optimal maximal social cost can be achieved in the VCG-based auction mechanism. View Full-Text
Keywords: Mobile Crowdsourcing Systems (MCSs); incentive mechanism; cost minimization; auction Mobile Crowdsourcing Systems (MCSs); incentive mechanism; cost minimization; auction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Duan, Z.; Yan, M.; Cai, Z.; Wang, X.; Han, M.; Li, Y. Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems. Sensors 2016, 16, 481.

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