Algorithm Research & Explore
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2588-2589,2595

Optimization algorithm of online incentive mechanism for mobile crowdsourcing system

Zhang Yongtang1,2
1. Dept. of Computer Science & Technology, Guangdong Neusoft Institute, Foshan Guangdong 528225, China
2. Guangdong Key Laboratory of Big Data Analysis & Processing, Guangzhou 510006, China

Abstract

In order to improve the validity and reliability of mobile crowdsourcing system, a complete optimization algorithm of online incentive mechanism was designed. For the asynchronous behavior of users arriving and participating in tasks, an improved multi-stage reverse auction algorithm was proposed. Through online learning adaptively determine the density threshold, dynamically selected the optimal user set, and updated the user's reputation after each transaction to guide the next task assignment. The simulation results show that the optimization algorithm can meet the computational efficiency and the profitability and authenticity of both parties, and can achieve better performance under certain budget and time constraints.

Foundation Support

国家自然科学基金资助项目(61363047)
广东省大数据分析与处理重点实验室开放基金资助项目(2017007)
佛山市科技创新项目(2016AG100792)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0145
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Algorithm Research & Explore
Pages: 2588-2589,2595
Serial Number: 1001-3695(2019)09-006-2588-02

Publish History

[2019-09-05] Printed Article

Cite This Article

张永棠. 一种移动众包系统在线激励机制优化算法 [J]. 计算机应用研究, 2019, 36 (9): 2588-2589,2595. (Zhang Yongtang. Optimization algorithm of online incentive mechanism for mobile crowdsourcing system [J]. Application Research of Computers, 2019, 36 (9): 2588-2589,2595. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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