Energy-Balanced Clustering Protocols for Underwater Sensor Networks

Ruiqin Zhao, Chuangyuan Liu, Xiaohong Shen

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Underwater sensor networks(USNs) play a vital role in marine devices, which work under energy -constrained environments. Numerous network clustering algorithms have been proposed to enhance the network lifespan. However, existing network clustering algorithms generally select cluster heads(CHs) randomly, which leads to uneven clustering results, imbalanced energy consumption in the network. In this paper, we present a spectral-clustering-based USN clustering strategy(SCUC), which achieves uniform clustering of network nodes, effectively balancing the energy consumption and prolonging the network lifespan. We also have verified its superiority through simulations.

源语言英语
主期刊名OCEANS 2024 - Singapore, OCEANS 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350362077
DOI
出版状态已出版 - 2024
活动OCEANS 2024 - Singapore, OCEANS 2024 - Singapore, 新加坡
期限: 15 4月 202418 4月 2024

出版系列

姓名Oceans Conference Record (IEEE)
ISSN(印刷版)0197-7385

会议

会议OCEANS 2024 - Singapore, OCEANS 2024
国家/地区新加坡
Singapore
时期15/04/2418/04/24

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