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基于聚类的无线传感器网络的分簇算法研究 被引量：2

Research on Cluster Algorithm Based on Clustering in Wireless Sensor Networks
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摘要 针对无线传感器网络中的LEACH算法的簇头节点分布不均匀的不足之处,提出了一种基于聚类的无线传感器网络的分簇算法.该算法将传感器网络按照节点的实际分布情况采用聚类算法聚成几个类(分簇),在各分簇中分别选择簇头节点.模拟实验结果显示算法与LEACH相比具有更好的性能. An algorithm based on clustering in wireless sensor networks is presented to solve the problem of uneven distribution of head nodes of LEACH algorithm. It clusters networks into groups according to the actual distribution of nodes and then selects head node in each group. Simulation results show that this algorithm performs better than LEACH.
作者 夏心锋 孙燕
机构地区 南京师范大学数学与计算机科学学院
出处 《南京师范大学学报（工程技术版）》 CAS 2008年第2期81-84,共4页 Journal of Nanjing Normal University(Engineering and Technology Edition)
关键词 无线传感器网络 分簇 系统寿命 wireless sensor networks, clustering, system life
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献7

  • 1[1]Akyildiz IF,Su W,Sankarasubramaniam Y,et al.A survey on sensor networks[J].IEEE Communications Magazine,2002,40(8):102-114.
  • 2[2]Heinzelman W,Chandrakasan A,Balakrishnan H.Energy-efficient communication protocol for wireless microsensor networks[C]//Proc of the 33 rd Annual Hawaii Int'1 Cord on System Sciences.Maui:IEEE Computer Society,2000:3005-3014.
  • 3[3]Handy M J,Haase M,Timmermann D.Low energy adaptive clustering hierarchy with deterministic cluster-head selection[C]//Proc of the 4th IEEE Conf on Mobile and Wireless Communications Networks.Stockholm:IEEE Communications Society,2002:368-372.
  • 4[4]Heinzelman W B,Chandrakasan A P,Balakrishnan H.An application-specific protocol architecture for wireless microsensor networks[J].IEEE Transactions on Wireless Communications,2002,1(4):660-670.
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同被引文献22

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量：730
  • 2唐勇,周明天,张欣.无线传感器网络路由协议研究进展[J].软件学报,2006,17(3):410-421. 被引量：201
  • 3沈波,张世永,钟亦平.无线传感器网络分簇路由协议[J].软件学报,2006,17(7):1588-1600. 被引量：267
  • 4李莉,董树松,温向明.无线传感器网络中的分簇算法[J].无线通信技术,2006,15(3):47-51. 被引量：5
  • 5徐强 汪芸.容错节能无线传感器网络中可靠覆盖问题的解决方案.软件学报,2006,17(1):184-191.
  • 6Ahmad A, Dey L A. A K-means clustering algorithm for mixed numeric and categorical data [ J ]. Data & Knowl- edge Engineering, 2007,63(2) :503-527.
  • 7Younis O, Fahmy S. Heed : A hybrid, energy-efficient, dis- tributed clustering approach for Ad-hoc sensor networks [J]. IEEE Trans. on Mobile Computing, 2004,3(4): 366-379.
  • 8Heinzelman W R, Chandrakasan A, Balakrishnan H. En- ergy-efficient communication protocol for wireless microsen- sor networks[ C]//Proc. of the 33rd Annual Hawaii Int' 1. Conf. on System Sciences. 2000:3005-3014.
  • 9Slijepcevic S, Potkonjak M. Power efficient organization of wireless sensor networks[ C ]//IEEE Int' 1. Conf. on Com- munications (ICC). 2001:472-476.
  • 10Cheung Yiu-Ming. K - -means:A new generalized K-means clustering algorithm [ J ]. Pattern Recognition Letters, 2003,24 (15) :2883-2893.

引证文献2

二级引证文献5

南京师范大学学报（工程技术版）
2008年 第2期

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