Browse > Article
http://dx.doi.org/10.3745/KTCCS.2019.8.1.1

A New Effective Mobile Crowdsourcing Control Scheme Based on Incentive Mechanism  

Park, Kwang Hyun (현대오토에버 디지털R&D센터)
Kim, SungWook (서강대학교 컴퓨터공학과)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.8, no.1, 2019 , pp. 1-8 More about this Journal
Abstract
In this paper, we design a new mobile crowdsourcing control scheme based on the incentive mechanism. By using a novel incentive mechanism, mobile nodes can get the maximum payoff when they report their true private information. As mobile nodes participate in the overlapping coalition formation game, they can effectively invest their resource while getting the higher reward. Simulation results clearly indicate that the proposed scheme has a better performance than the other existing schemes under various mobile crowdsourcing environments.
Keywords
Game Theory; Mechanism Design; Coalition Formation Game; Mobile Crowdsourcing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Yang, F. Wu, S. Tang, X. Gao, B. Yang, and C. Chen, “On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing,” IEEE Journal on Selected Areas in Communications, Vol. 35, No. 4, pp. 832-847, 2017.   DOI
2 H. Li, K. Ota, M. Dong, and M. Guo, “Mobile Crowdsensing in Software Defined Opportunistic Networks,” IEEE Commun. Mag., Vol. 55, No. 6, pp. 140-145, Jun. 2017.   DOI
3 W. Wu, W. Wang, J. Wang, X. Fang, Y. Jiang, and J. Luo, “Incentive Mechanism Design to Meet Task Criteria in Crowdsourcing: How to Determine Your Budget,” IEEE J. Sel. Areas Commun., Vol. 35, No. 2, pp. 502-516, Feb. 2017.   DOI
4 Y. Lim, “Alternating Offers Bargaining Game and Wardrop's User Equilibrium,” Korean Society of Transportation, Vol. 23, No. 5, pp. 37-45, Sep. 2005.
5 T. Wang, L. Song, Z. Han, and W. Saad, “Overlapping coalition Formation Games for Emerging Communication Networks,” IEEE NETWROK, Vol. 30, No. 5, pp. 46-53, 2016.
6 S. Kim, Game Theory Applications in Network Design, IGI Global, 2014
7 D. Yang, G.Xue, X. Fang, and J. Tang, "Crowdsourcing to smartphones: Incentive mechanism design for mobile phone sensing," Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, pp. 173-184, 2012.
8 X. Gan, Y. Li, W. Wang, L. Fu, and X. Wang, “Social Crowdsouring to Friends: An Incentive Mechanism for Multi-Resource Sharing,” IEEE Journal on Selected Areas in Communications, Vol. 35, No. 3, pp. 795-808, 2017.   DOI
9 L. Qi, W.Dou, W.Wang, G. Li, H. Yu, and S. Wan, "Dynamic Mobile Crowdsourcing Selection for Electricity Load Forecasting," IEEE Access, Vol. 6, pp. 46926-46937, 2018   DOI
10 X. Zhang, Z. Yange, and Y. Liu, "Vehicle-Based Bi-Objective Crowd sourcing," IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 10, Oct. 2018.
11 L. Wang, Z. Yu, Q. Han, B. Guo, and H. Xiong, "Multi-Objective Optimization Based Allocation of Heterogeneous Spatial Crowdsourcing Tasks," IEEE Transactions on Mobile Computing, Vol. 17, No. 7, July. 2018.
12 Y. Wu, B. Wang, and K. J. R. Liu. "Repeated Spectrum Sharing Game with Self-Enforcing Truth-Telling Mechanism," MIUR and FP7 in the framework of the PRIN SESAME and PrimeLife projectsIn Proc. of IEEE International Conference on Communications ICC'08, pp. 3583-3587, May. 2008.
13 B. Di, T. Wang, L. Song, and Z. Han, “Collaborative Smartphone Sensing Using Overlapping Coalition Formation Games,” IEEE Trans. Mobile Comput., Vol. 16, No. 1, pp. 30-43, Jan. 2017.   DOI