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Energy efficiency optimization of offshore wind farm sensor nodes based on multi-agent deep reinforcement learning

Jia Linpeng1
Wang Xiao1
He Zhiqin1
Wu Qinmu1
Yin Yaohua2
1. School of Electrical Engineering, GuiZhou University, Guiyang 550025, China
2. GuiYang Engineering corporation Limited, Guiyang 550081, China

Abstract

The efficient operation of offshore wind farms relies on monitoring data from Wireless Sensor Networks. This study identifies the lack of effective energy efficiency optimization for node deployment and communication in offshore wind farm scenarios. To address this, we propose an optimization scheme using a Multi-Agent Deep Deterministic Policy Gradient algorithm. Considering limited node energy and offshore communication challenges, the scheme optimizes sensing and communication strategies through multi-agent collaboration, reducing energy consumption and improving network coverage and data transmission. Adaptive noise, prioritized experience replay, and a tailored reward function further enhance learning efficiency and energy performance. Experiments show the proposed algorithm increases node energy efficiency by 26% over DDPG and achieves training speeds 33% and 48% faster than DDQN and SAC algorithm.

Foundation Support

国家自然科学基金资助项目(61861007)
贵州省科技计划项目(黔科合基础-ZK[2021]一般303)
贵州省科技支撑计划(黔科合支撑[2022]一般264,黔科合支撑[2023]一般096,黔科合支撑[2023]一般412、黔科合支撑[2023]一般409)
中国电建集团贵阳勘测设计研究院有限公司项目(YJ2022-12)
中国电力建设股份有限公司科技项目(DJ-ZDXM-2022-44)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.12.0520
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-04-17] Accepted Paper

Cite This Article

贾林朋, 王霄, 何志琴, 等. 基于多智能体深度强化学习的海上风电传感器节点能效优化 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0520. (Jia Linpeng, Wang Xiao, He Zhiqin, et al. Energy efficiency optimization of offshore wind farm sensor nodes based on multi-agent deep reinforcement learning [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0520. )

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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