Energy-efficient uniform clustering algorithm for wireless sensor networks

Zhongwen Guo, Jinfeng Dou, Peng Wang, Guangxue Zhang
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引用次数: 3

Abstract

The efficient subdivision of a sensor network into uniform clusters of physically close nodes is an important building block in the design of efficient upper layer network functions such as routing, broadcast, data aggregation, and query processing. This paper analyzes a low energy adaptive clustering hierarchy (LEACH) in terms of the optimum number of clusters and demonstrates through simulation that the optimum number calculated are not suitable for sensor networks including large number of nodes or covering large area. Based on the analysis results, we give a new formula of calculating the optimum number of clusters on an improved data gathering model. To decrease the energy dissipation further, we develop a new efficient uniform clustering algorithm in ad-hoc sensor networks. Simulation results show that it achieves fairly uniform cluster-head distribution across the network.
无线传感器网络的节能均匀聚类算法
有效地将传感器网络细分为物理上紧密的节点组成的均匀集群,是设计高效的上层网络功能(如路由、广播、数据聚合和查询处理)的重要组成部分。本文从最优簇数的角度对低能量自适应聚类层次(LEACH)进行了分析,并通过仿真证明了所计算的最优簇数不适合节点数较多或覆盖面积较大的传感器网络。在分析结果的基础上,提出了一种基于改进数据采集模型的最佳聚类数计算公式。为了进一步降低能量耗散,我们在自组织传感器网络中开发了一种新的高效均匀聚类算法。仿真结果表明,该方法在整个网络中实现了较为均匀的簇头分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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