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异构传感器网络的分布式能量有效成簇算法
引用本文:卿利,朱清新,王明文.异构传感器网络的分布式能量有效成簇算法[J].软件学报,2006,17(3):481-489.
作者姓名:卿利  朱清新  王明文
作者单位:电子科技大学计算机科学与工程学院,四川,成都,610054
摘    要:为了延长网络的生存时间,需要设计能量有效的协议,以适应传感器网络的特点.成簇算法是传感器网络中减少能量消耗的一种关键技术,它能够增强网络的扩展性和延长网络的生存时间.研究了异构传感器网络中成簇算法在节省能量方面的性能,提出一种适应异构无线传感器网络的分布式能量有效的成簇方案.此方案基于节点剩余能量与网络节点的平均能量的比例来选举簇头节点.较高初始能量和剩余能量的节点比低能量节点拥有更多的机会成为簇头节点,从而使网络能量均匀消耗,延长网络的生存时间.模拟实验结果显示,与现有的重要成簇方案相比,新的成簇算法在异构网络下提供了更长的网络生存时间和更大的网络有效吞吐量.

关 键 词:无线传感器网络  成簇算法  异构环境  能量有效
收稿时间:2005-05-29
修稿时间:9/6/2005 12:00:00 AM

A Distributed Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks
QING Li,ZHU Qing-Xin and WANG Ming-Wen.A Distributed Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks[J].Journal of Software,2006,17(3):481-489.
Authors:QING Li  ZHU Qing-Xin and WANG Ming-Wen
Affiliation:School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
Abstract:In order to prolong the network lifetime, energy-efficient protocols should be designed to adapt the characteristic of wireless sensor networks. Clustering Algorithm is a kind of key technique used to reduce energy consumption, which can increase network scalability and lifetime. This paper studies the performance of clustering algorithm in saving energy for heterogeneous wireless sensor networks. A new distributed energy-efficient clustering scheme for heterogeneous wireless sensor networks is proposed and evaluated. In the new clustering scheme, cluster-heads are elected by a probability based on the ratio between residual energy of node and the average energy of network. The high initial and residual energy nodes will have more chances to be the cluster-heads than the low energy nodes. Simulational results show that the clustering scheme provides longer lifetime and higher throughput than the current important clustering protocols in heterogeneous environments.
Keywords:wireless sensor network  clustering algorithm  heterogeneous environment  energy-efficient
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