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无线传感器网络的能量有效加权分簇算法 被引量:7

Energy efficient weight-clustering algorithm for wireless sensor network
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摘要 在能量有效加权分簇(EWC)算法的基础上,提出一种簇首选择算法EWC-N(new EWC)。该算法根据节点的邻节点数量与剩余能量计算出权值,选出权值大的节点为簇首,在选择簇首的过程中,动态调整簇首之间的距离。该算法减少了分簇过程中能量的消耗,簇首的分布更加合理。仿真实验结果表明,该算法相对于EWC提高了能量有效利用率近9%,延长了约12%的网络生存时间。 Based on the energy efficient,weight-clustering(EWC) algorithm,a novel algorithm called EWC-N(New EWC) is proposed.After calculating weight according to its neighbors and residual energy,the EWC-N algorithm selects the cluster-head whose weight is biggest among the neighbor nodes and dynamically adjust the distances among the cluster-heads in cluster-head selection pro-cess.The algorithm decreases the energy consumption rate in the process of clustering and makes the distributions of cluster-heads more reasonable.Simulation shows that,compared with EWC,the new algorithm has a 9% increase in the energy efficiency and prolongs the network's lifetime for about 12%.
出处 《计算机工程与设计》 CSCD 北大核心 2011年第4期1216-1219,共4页 Computer Engineering and Design
关键词 无线传感器网络 分簇 簇首选择 权值 能量有效加权分簇算法 wireless sensor network clustering cluster-head selection weight value energy efficient weight-clustering algorithm
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参考文献10

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二级参考文献22

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二级引证文献48

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