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无线传感器网络中分簇算法能量有效性分析

李莉 温向明

李莉, 温向明. 无线传感器网络中分簇算法能量有效性分析[J]. 电子与信息学报, 2008, 30(4): 966-969. doi: 10.3724/SP.J.1146.2006.01552
引用本文: 李莉, 温向明. 无线传感器网络中分簇算法能量有效性分析[J]. 电子与信息学报, 2008, 30(4): 966-969. doi: 10.3724/SP.J.1146.2006.01552
Li Li, Wen Xiang-ming. Energy Efficient Optimization of Clustering Algorithm in Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2008, 30(4): 966-969. doi: 10.3724/SP.J.1146.2006.01552
Citation: Li Li, Wen Xiang-ming. Energy Efficient Optimization of Clustering Algorithm in Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2008, 30(4): 966-969. doi: 10.3724/SP.J.1146.2006.01552

无线传感器网络中分簇算法能量有效性分析

doi: 10.3724/SP.J.1146.2006.01552

Energy Efficient Optimization of Clustering Algorithm in Wireless Sensor Network

  • 摘要: 该文针对无线传感器网络是一种能量受限的网络,首先说明根据节点数目以及分布区域特征,确定合理的成簇数目是分簇算法设计的核心;然后给出节点在通信中使用的能量模型,按照分簇的不同层数,分别对其成簇的数目进行理论上的优化分析,最后通过实验的方法验证优化的分簇算法能够满足能量有效性,对均匀节点能耗分布,提高网络生存时间有着重要作用。
  • Pottie G and Kaiser W. Wireless sensor networks[J].Communications of the ACM.2000, 43(5):51-58[2]李国华,田辉,崔鸿雁,沈树群. 无线传感器网络中一种基于能量策略的路由算法[J].电子与信息学报.2006,28(1):168-171浏览[3]Bandyopadhyay S and Coyle E J. An energy efficienthierarchical clustering algorithm for wireless sensornetworks[C]. Proceedings of INFOCOM, San Francisco, Calif,USA, March 2003, Vol.3, 1713-1723.[4]Handy M J, Haase M, and Timmermann D. Low energyadaptive Clustering Hierarchy with deterministiccluster-head selection[C]. Proceedings of the 4th IEEEInternational Workshop on Mobile and WirelessCommunications Network. Paris, France, 2002: 368-372.[5]Heinzelman W R, Chandrakasan A, and Balakrishnan H. Anapplication-specific protocol architecture for wirelessmicrosensor networks [J]. IEEE Trans. on WirelessCommunications, 2002, 1(4): 660-670.[6]Yuanzhu P C, Arthur L Liestman, and Liu Jiangchuan.Energy efficient data aggregation hierarchy for wirelesssensor networks[C].The Second International Conference onQuality of Service in Heterogeneous Wired/WirelessNetworks (QSHINE), Orlando, FL, 2005: 7-15.[7]Foss S G and Zuyev S A. On a voronoi aggregative processrelated to a bivariate poisson process [J]. Advances in AppliedProbability, 1996, 28(4): 965-981.[8]Frank C, Shyamala C S, and William R. Energy conservingarchitectures and algorithms for wireless sensor networks[C].Proceedings of the 39th Hawaill International Conference onSystems Sciences, Washington, DC, USA, 2006: 236-245.
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出版历程
  • 收稿日期:  2006-10-13
  • 修回日期:  2007-05-18
  • 刊出日期:  2008-04-19

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