App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 10

Self-organized network connectivity recovery method for multi-agent system based on subnet Fusion

He Xingyua,b
Yu Pingpinga
Yang Guisonga
a. School of Optical-Electrical & Computer Engineering, b. College of Communication & Art Design, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0040

Abstract

It is challenging to quickly restore full connectivity in a damaged multi-agent self-organizing network while maintaining the residual connectivity structure. Therefore, this paper proposes a connectivity restoring method based on subnet fusion for self-organized networks in multi-agent systems. Firstly, the method designs a subnet partition algorithm based on network fault detection, to identify faulty nodes and subnet fragmentation in the system. Secondly, the method deploys a leader-follower mobility model within each subnet to maintain the residual network connectivity. Finally, the method designs a reinforcement learning-based subnet fusion algorithm for leader election, where leaders are elected periodically according to a reward function related to mobility distance and energy consumption, being responsible for guiding their followers to move for fusion between subnets. The experimental results show that our method reduces average restoration time by 11.3% and decreases energy consumption by 10.58%, demonstrating its advantages in efficiency and energy usage.

Foundation Support

国家自然科学基金资助项目(61602305,61802257)
上海市自然科学基金资助项目(18ZR1426000,19ZR1477600)
南通市科技局社会民生计划资助项目(MS12021060)
浦东新区科技发展基金产学研专项资助项目(PKX2021-D10)
敏捷智能计算四川省重点实验室开放式基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0040
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-07-04] Accepted Paper

Cite This Article

何杏宇, 余萍萍, 杨桂松. 基于子网融合的多智能体系统自组网连通性恢复方法 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0040. (He Xingyu, Yu Pingping, Yang Guisong. Self-organized network connectivity recovery method for multi-agent system based on subnet Fusion [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0040. )

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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