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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Heterogeneous clustering algorithm of potential game underwater sensor networks based on ocean current model

Li Hua1
Tang Minli1
Wei Liansuo2
Tan Yongqian1
1. University of Big Engineering, Kaili University, Guizhou Kaili 556011, China
2. School of information Engineering, Suqian University, Jiangsu Suqian 223800, China
DOI: 10.19734/j.issn.1001-3695.2024.08.0344

Abstract

In underwater wireless sensor networks (UWSN) , uneven energy consumption and energy hotspot issues significantly reduce network efficiency and lifespan. To tackle these challenges, this paper proposes a clustering-based routing algorithm that incorporates ocean current models and potential game theory. The algorithm begins by selecting a cluster head through a competition time-based method, which factors in residual energy and node density to determine broadcast timing. A competition radius function is also defined to ensure smaller cluster sizes closer to the base station. Subsequently, a node clustering model based on potential games is constructed, achieving optimal cluster partitioning upon reaching Nash equilibrium, thus completing the node clustering process. For inter-cluster data transmission, a depth- and energy-based inter-cluster routing mechanism is employed, where the forwarding probability of each neighboring cluster head depends on its depth and residual energy, enabling the selection of the optimal transmission route. Experimental results demonstrate that the proposed algorithm successfully mitigates uneven energy consumption and energy hotspot issues, extending network lifetime by 69%, 52%, 45%, and 29% compared to LEACH, EEUC, UCUBG, and IMCMR-UWSN algorithms, respectively, while also increasing network throughput. This study provides fresh insights and methods for designing and optimizing UWSN.

Foundation Support

凯里学院校级专项课题(2024ZX008)资助
黔东南科合基础〔2024〕0003号资助
贵州省2022年度基础研究计划(自然科学)项目(黔科合-ZK[2022]-一般526)资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.08.0344
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

李华, 汤敏丽, 魏连锁, 等. 基于洋流模型的势博弈UWSN分簇路由算法 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.08.0344. (Li Hua, Tang Minli, Wei Liansuo, et al. Heterogeneous clustering algorithm of potential game underwater sensor networks based on ocean current model [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.08.0344. )

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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