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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
1050-1057

Multi-task allocation under task and participant matching willingness rules constraints in mobile crowdsensing

Yang Kaicheng
Zhang Xin
Hu Jiahao
Zhou Chaoran
Li Zerui
College of Computer Science & Technology, Changchun University of Science & Technology, Changchun 130022, China
DOI: 10.19734/j.issn.1001-3695.2024.08.0321

Abstract

Currently, most mobile crowdsensing(MCS) multi-task allocation methods only consider time constraints, neglecting the matching willingness of tasks and participants. This makes it hard to guarantee the task acceptance rate in real scenarios and maximize the platform's profit. To solve this, this paper proposed an MCS task assignment algorithm introducing task and participant preferences, called immune genetic whale optimization algorithm(IGWOA). The algorithm used the intelligent search mechanism of whale optimization algorithms to solve the resource allocation problem in MCS task allocation. It introduced cross and immunity ideas from immune genetic methods in the search and encircling prey stages to increase strategy diversity and solution quality. In the bubble net predation stage, it combined the mutation idea to enhance local search ability. It achieved fast convergence and generated the optimal assignment strategy. The experimental results show that IGWOA outperforms the baseline method in terms of platform profits, task assignment rates, and average task assignment numbers for participants under various data scales. And it also has good algorithmic time complexity, which proves that it can effectively solve the MCS multi-task allocation problem with dual constraints of time and matching willingness rules.

Foundation Support

国家重点研发计划资助项目(2023YFB3308900)
吉林省自然科学基金资助项目(20200201182JC,YDZJ202301ZYTS422)
吉林省教育厅科学研究项目(JJKH20250519KJ)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.08.0321
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Algorithm Research & Explore
Pages: 1050-1057
Serial Number: 1001-3695(2025)04-011-1050-08

Publish History

[2025-04-05] Printed Article

Cite This Article

杨凯程, 张昕, 胡佳豪, 等. 任务和参与者匹配意愿规则约束下的移动群智感知多任务分配 [J]. 计算机应用研究, 2025, 42 (4): 1050-1057. (Yang Kaicheng, Zhang Xin, Hu Jiahao, et al. Multi-task allocation under task and participant matching willingness rules constraints in mobile crowdsensing [J]. Application Research of Computers, 2025, 42 (4): 1050-1057. )

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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