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WSN中一种改进LEACH算法与仿真分析 被引量:1

An Improved LEACH Algorithm and Simulation Analysis In WSN
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摘要 无线传感器网络降低能耗、提高网络生存周期是研究的重要目标,本文针对LEACH算法缺陷,对簇首选择、簇首和Sink节点的通信进一步优化。簇头节点在接收簇内节点数据时进行数据聚合,减少传输数据的能耗,同时各簇头节点将聚合后的数据用改进的Dijkstra算法以最快的速度找到距离Sink的最短路径,提高网络性能,延长网络生存时间。 The primary aim of the study is to reduce the energy consumption of the networks of wireless sensors and to improve the life cycle of the networks, further optimizing the communications of cluster heads towards Sink nodes and cluster choices in view of the algorithmic defects of LEACH. Data aggregation is being conducted while cluster heads receiving the nodes data to reduce energy consumption in transmitting data. Simultaneously each cluster head finds the shortest route to Sink at the greatest speed for the aggregated data with the improved algorithm of Dijkstra to improve the network performance and to prolong the life time of the networks.
出处 《科技广场》 2012年第6期6-9,共4页 Science Mosaic
关键词 分簇 无线传感器网络 数据聚合 DIJKSTRA算法 Clustering Wireless Sensors Networks Data Aggregation Algorithm of Dijkstra
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参考文献6

  • 1Akyildiz I, Su W, Sankarasubramaniam Y,Cayir- ci E.Wireless sensor networks: A survey [J].Computer Networks, 2002, 38(04): 393-422.
  • 2Heinzelman WR,Kulik J,Balakfishnan H. Adaptive protocols for information dissemination in wireless sensor networks In: Proc. of the 5th Ann Int' 1 Conf_on Mobile Computing and Networking 2001: 174-185.
  • 3[德]HolgerKarl,AndreasWillig著.邱天爽,唐洪,李婷,杨华,等译.无线传感器网络协议与体系结构[M].北京:电子工业出版社,2007.
  • 4白凤娥,牟汇慧,姜晓荣.基于LEACH的无线传感器网络分簇路由算法[J].计算机与数字工程,2010,38(4):49-51. 被引量:2
  • 5YagerR R. On the Entropy of Fuzzy Measures [J]. IEEE Transactions on Fuzzy Systems, 2000,8(04): 453-461.
  • 6张强,卢潇,崔晓臣.基于分簇的无线传感器网络数据聚合方案研究[J].传感技术学报,2010,23(12):1778-1782. 被引量:14

二级参考文献12

  • 1王殊,阎毓杰,陈帅,李中伟.传感器网络中基于移动代理的数据融合方法研究[J].传感技术学报,2006,19(3):926-932. 被引量:11
  • 2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
  • 3Kalpakis K,Dasgupta K,Namjoshi P.An Efficient Clustering-based Heuristic for Data Gathering and Aggregation in Sensor Networks[C] //IEEE Wireless Communications and Networking,2003:1948-1953.
  • 4So J,Kim J,Gupta I.Cushion:Autonomically Adaptive Data Fusion in Wireless Sensor Networks[C] //IEEE International Conference on Mobile Adhoc and Sensor Systems,2005:1-3.
  • 5Weilian S U,Theodoros C.Bougiouklis.Data Fusion Algorithms in Cluster-Based Wireless Sensor Networks Using Fuzzy Logic Theory[C] //Proceedings of the 11th Conference on 11th WSEAS International Conference on Communications,2007:291-299.
  • 6冯秀芳 高战强.无线传感器网络中基于PCA神经网络的数据融合.计算机科学,2007,:34-375,372.
  • 7Ignacio Solis,Katia Obraczka.The Impact of Timing in Data Aggregation for Sensor Networks[C] //IEEE International Conference on Communications,2004:3640-3645.
  • 8Yuan W,Krishnamachari S V,Tripathi S K.Synchronization of Multiple Levels of Data Fusion in Wireless Sensor Networks[C] //IEEE Global Telecommunications Conference,2003:221-225.
  • 9Yager R R.On the Entropy of Fuzzy Measures[J].IEEE Transactions on Fuzzy Systems,2000,8(4):453-461.
  • 10Silvio Croce,Francesco Marcelloni,Massimo Vecchio.Reducing Power Consumption in Wireless Sensor Networks Using a Novel Approach to Data Aggregation[J].The Computer Journal,2008,51(2):226-239.

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