文章基本信息

标题：A Genetic-Algorithm-Based Optimized Clustering for Energy-Efficient Routing in MWSN
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作者：Sara, Getsy S. ; Devi, S. Prasanna ; Sridharan, D. 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2012
卷号：34
期号：6
页码：922-931
DOI：10.4218/etrij.12.1812.0047
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：With the increasing demands for mobile wireless sensor networks in recent years, designing an energy-efficient clustering and routing protocol has become very important. This paper provides an analytical model to evaluate the power consumption of a mobile sensor node. Based on this, a clustering algorithm is designed to optimize the energy efficiency during cluster head formation. A genetic algorithm technique is employed to find the near-optimal threshold for residual energy below which a node has to give up its role of being the cluster head. This clustering algorithm along with a hybrid routing concept is applied as the near-optimal energy-efficient routing technique to increase the overall efficiency of the network. Compared to the mobile low energy adaptive clustering hierarchy protocol, the simulation studies reveal that the energy-efficient routing technique produces a longer network lifetime and achieves better energy efficiency.
关键词：Clustering;energy efficiency;genetic algorithm;mobile wireless sensor network;optimization;routing