水下
聚类分析
计算机科学
无线传感器网络
能量(信号处理)
计算机网络
人工智能
物理
地质学
量子力学
海洋学
作者
Ruiqin Zhao,Chuangyuan Liu,Xiaohong Shen
标识
DOI:10.1109/oceans51537.2024.10682291
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.
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