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基于能耗均衡的无线传感器网络数据融合树建立方法

n Energy-balanced Spannnig Tree Construction Algorithm for Wireless Sensor Networks Data Aggregation

中文摘要英文摘要

无线传感器网络数据收集过程广泛采用数据融合方法,为了降低传感器节点以及网络的能耗,进而提高无线传感器网络的生存时间,本文提出能耗均衡策略(EBS)并提出一种基于能耗均衡的无线传感器网络数据融合树建树方法(EBSPAN),如果所有节点的能量水平相当可以建近似K叉树,让每个节点尽量和相同个数的节电通信。但实际网络中存在能量偏离水平值的节点,这些节点则根据自身实际能量进行剪枝嫁接,保证通信量与节点的能量水平相当,避免传统融合结构可能出现"热点"造成的节点早死,有效的延长网络生存时间。实验表明,EBSPAN具有良好的运行效果,较好的延长网络生存时间,有较好的理论和实际意义。

ata aggregation is a widely used collection method in wireless sensor networks. To decrease the energy consumption of sensor nodes and networks, this paper proposes the strategy of balanced energy consumption(EBS) and a spanning tree construction algorighm(EBSPAN) based on this strategy. Considering the average level of nodes' energy, a k-tree can be build, so that each node connects with nodes of the same amount. But there are nodes whose energy is far from the average level, so a cut/graft strategy is used to make sure each node's communication traffic is proportional to its energy. This EBSPAN algorithm can avoid "hot spots" in former aggregation structures, so it prolongs the lifetime of WSNs. The simulation shows that EBSPAN performs well; especially the longevity of EBSPAN based WSNs. In a word, the EBSPAN algorithm possesses the quality of theoretical and practical signification.

熊璋、蒲菊华、陈尊

无线通信

无线传感器网络数据融合能耗均衡网络生存时间

wireless sensor networksdata aggregationenergy balancenetwork time

熊璋,蒲菊华,陈尊.基于能耗均衡的无线传感器网络数据融合树建立方法[EB/OL].(2013-01-11)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201301-544.点此复制

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