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无线传感器网络能量均衡自适应分簇算法 被引量:14

Energy-Balanced Adaptive Clustering Algorithm in Wireless Sensor Networks
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摘要 针对无线传感器网络能量及存储计算能力等方面的限制,提出了一种能耗均匀的分簇算法EBAC,改进了LEACH协议的簇头选举过程,把节点剩余能量作为簇头选举的依据.实验结果表明,该算法能有效延长网络的生存时间,并且因为网络中能耗均衡,节点死亡时间非常接近(第一个和最后一个节点死亡时间只差约20轮),所以监测结果更加准确可靠. To solve problems in WSN including energy limitation and capacity limitation of memory and computing, we presented EBAC, an energy-balanced clustering algorithm. It made an improvement on CH selection based on LEACH, nodes" residual energy considered. Simulation result proves EBAC performs better than LEACH in lifetime. Moreover, due to balanced energy consumption in EBAC, all the nodes die almost at the same time (in the last 20 rounds), so the reliability of sensing information in EBAC is higher than that in LEACH.
出处 《传感技术学报》 CAS CSCD 北大核心 2007年第7期1616-1619,共4页 Chinese Journal of Sensors and Actuators
关键词 无线传感器网络 分簇 LEACH算法 剩余能量 能耗均匀 WSN clustering LEACH residual energy balanced energy consumption
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