Multi-round Bidding Strategy Based on Game Theory for Crowdsensing Task - researchr publication related

researchr

You are not signed in
Sign in
Sign up

En Wang, Yongjian Yang, Jie Wu, Hengzhi Wang. Multi-round Bidding Strategy Based on Game Theory for Crowdsensing Task. In Guojun Wang, Jun Feng 0007, Md. Zakirul Alam Bhuiyan, Rongxing Lu, editors, Security, Privacy, and Anonymity in Computation, Communication, and Storage - 12th International Conference, SpaCCS 2019, Atlanta, GA, USA, July 14-17, 2019, Proceedings. Volume 11611 of Lecture Notes in Computer Science, pages 196-210, Springer, 2019. [doi]

The following publications are possibly variants of this publication:

Beaconing Control strategy based on Game Theory in mobile crowdsensingYongjian Yang, Wenbin Liu, En Wang, Hengzhi Wang. fgcs, 86:222-233, 2018. [doi]

Optimal incentive strategy in blockchain-based mobile crowdsensing using game theoryYujie Liu, Shangping Wang, Duo Zhang 0004, Qian Zhang 0029, Jifang Wang. cn, 237:110053, December 2023. [doi]

Development of Educational Game Software Based on Multi-touch TechnologyYao-feng Xue, Xiao-Hua Yu, Zhi-Ting Zhu, Yong-he Wu. icee 2010: 3890-3893 [doi]

Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game TheoryYao Wang, Xin Ai, Zhongfu Tan, Lei Yan, Shuting Liu. tsg, 7(1):510-519, 2016. [doi]

A crowdsensing market based on game theory: participant incentive, task assignment and pricing guidanceLiangguang Wu, Yonghua Xiong, Kang-Zhi Liu, Jinhua She. ijcnds, 28(5):517-533, 2022. [doi]

A bidding strategy of multiple round auctions based on Genetic Network ProgrammingChuan Yue, Shingo Mabu, Donggeng Yu, Yu Wang, Kotaro Hirasawa. cec 2010: 1-8 [doi]

runs on WebDSL