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Technology of Network & Communication
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1191-1197

Multi-task allocation scheme based on Nash bargaining model in mobile crowdsensing network

Li Li1
Zhong Xiaoxiong2
1. School of Computer Science & Software, Shenzhen Institute & Information Technology, Shenzhen Guangdong 518172, China
2. Dept. of New Networks, Peng Cheng Laboratory(PCL), Shenzhen Guangdong 518055, China

Abstract

In order to realize the effective multi-task allocation based on user resources and task quality requirements for multiple concurrent tasks of mobile crowdsensing network, this paper exploited the advantage of Nash bargaining model in resource allocation, and proposed a multi-task assignment strategy based on Nash bargaining solution. This strategy mapped multiple users'selection problems of different heterogeneous tasks according to different objectives and quality requirements into a multi-player Nash bargaining game model, and used the space distance method to effectively obtain the optimal solution of this multi-player Nash bargaining game. Based on this solution, the sensing platform uniformly allocated multiple heterogeneous tasks, and assigned each task to the most suitable user. The strategy can maximize the overall profit of the user, reduce the number of users executing the same task while ensuring the quality of the data, and effectively reduce the incentive cost of the sensing platform. The experimental results show that the proposed strategy has better performances than the existing task allocation strategies in terms of overall utility and task quality satisfaction.

Foundation Support

深圳市科技计划资助项目(JCYJ20220530143811027)
广东省特支计划资助项目(2021TQ06X117)
国家自然科学基金资助项目(61802220)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0319
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Technology of Network & Communication
Pages: 1191-1197
Serial Number: 1001-3695(2025)04-030-1191-07

Publish History

[2025-04-05] Printed Article

Cite This Article

李丽, 钟晓雄. 移动群智感知中基于纳什讨价还价博弈的多任务分配策略 [J]. 计算机应用研究, 2025, 42 (4): 1191-1197. (Li Li, Zhong Xiaoxiong. Multi-task allocation scheme based on Nash bargaining model in mobile crowdsensing network [J]. Application Research of Computers, 2025, 42 (4): 1191-1197. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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