水声传感器网络聚类算法研究

Xia Li, S. Fang, Yong-chun Zhang
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引用次数: 36

摘要

在大规模条件下,水声传感器网络通常采用分层结构对网络进行组织和管理,但分层结构的形成和维护依赖于聚类算法,影响网络的性能。本文介绍了传统的聚类算法LEACH,并在此基础上对算法进行了改进,仿真结果表明改进后的聚类算法提高了网络的稳定性和能量利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The study on clustering algorithm of the underwater acoustic sensor networks
Hierarchical structure is adopted for underwater acoustic sensor network in the big-scale condition to organize and manage the network commonly, but the forming and maintenance of the hierarchical structure depend on the clustering algorithm which affects the performance of the network. In this paper a conventional clustering algorithm - LEACH is introduced, based on the algorithm improvement is done, and the simulation results show that the improved clustering algorithm enhance the stability and energy utilization of the network.
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