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一种能耗均衡的无线传感器网络加权无标度拓扑研究
引用本文:刘洲洲,王福豹.一种能耗均衡的无线传感器网络加权无标度拓扑研究[J].物理学报,2014,63(19):190504-190504.
作者姓名:刘洲洲  王福豹
作者单位:1. 西北工业大学电子信息学院, 西安 710076;2. 西安航空学院, 西安 710077
基金项目:国家自然科学基金(批准号:61103242)资助的课题~~
摘    要:针对无线传感器网络节点能耗不均衡问题,通过对节点生命期建模,得出节点生命期受节点剩余能量和通信距离的影响,进而将两端节点生命期作为构建拓扑时边权重的影响因子,通过边权重控制节点权重,最终得出了一种能耗均衡的无线传感器网络加权无标度拓扑模型,并理论证明了该模型的点权、边权和节点度均服从幂律分布.实验结果表明,该模型具有无标度拓扑的强容错性,并有效的均衡了网络中的节点能耗,延长了网络的生命期.

关 键 词:无线传感器网络  无标度拓扑  加权  能耗均衡
收稿时间:2014-05-13

Research on weighted scale-free top ology with balancing energy consumption characteristics in wireless sensor networks
Liu Zhou-Zhou , Wang Fu-Bao.Research on weighted scale-free top ology with balancing energy consumption characteristics in wireless sensor networks[J].Acta Physica Sinica,2014,63(19):190504-190504.
Authors:Liu Zhou-Zhou  Wang Fu-Bao
Institution:Liu Zhou-Zhou;Wang Fu-Bao;School of Electronics and Information, Northwest Polytechnical University;Xi’an Aeronautical University;
Abstract:Due to the energy limitation in nodes in the wireless sensor networks, the problem whether the node energy consumption is balanced becomes a primary one in the design of networks. Through building the node lifetime model, we conclude that the node lifetime is affected by the node residual energy and the communication distance. Additionally, both ends of the node lifetime are introduced as the influencing factors on edge weights. And then through the edge weight the node weight is controlled, so that the weighted scale-free topology with energy consumption balanced characteristics is obtained. Finally, theoretical proof shows that the distribution of the node weight, the edge weight, and the node degree all obey the power-law distribution. Simulation results show that this model has the good fault tolerance characteristics that the scale-free topology can have. And it also has obvious advantages in balancing the network energy consumption and prolonging the network lifetime.
Keywords: wireless sensor networks scale-free topology weighted balancing energy consumption
Keywords:wireless sensor networks  scale-free topology  weighted  balancing energy consumption
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