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基于网络流的无线传感网负载均衡问题算法
引用本文:洪孙焱,申时凯,阿圆.基于网络流的无线传感网负载均衡问题算法[J].云南民族学院学报(自然科学版),2014(1):11-14.
作者姓名:洪孙焱  申时凯  阿圆
作者单位:[1]昆明学院信息技术学院,云南昆明650214 [2]昆明市物联网及泛在工程技术中心,云南昆明650214 [3]函馆未来大学,日本
基金项目:云南省应用基础研究计划项目(2011FZ176);昆明学院科研项目(2010JS02)
摘    要:在大规模无线传感器网络中,普通节点与有较大能源和计算能力的网关节点相连,由网关融合成员节点的数据并实现数据的长距离路由转发.网关节点负载均衡问题是无线传感器网络路由中的关键问题,Low给出了负载均衡问题一个近似度为3/2的算法,我们举出反例证明此算法的近似度不可能为3/2,并设计了一种新的近似度为2的基于网络流的算法.实验仿真表明,在节点数较多的大规模传感网络中,新算法的近似度更低.

关 键 词:无线传感器网络  网络流  负载均衡问题  近似算法

A new algorithm based on network flow for LBCP of wireless sensor networks
HONG Sun-yan,SHEN Shi-kai,A Yuan.A new algorithm based on network flow for LBCP of wireless sensor networks[J].Journal of Yunnan University of The Nationalities(Natural Sciences Edition),2014(1):11-14.
Authors:HONG Sun-yan  SHEN Shi-kai  A Yuan
Institution:1. School of Information Technology, Kunming University, Kunming 650214, China; 2. Kunming IOT and Ubiquitous Engineering Center, Kunming 650214, China; 3. Future University - Hakodate, Japan)
Abstract:The load -balanced clustering problem (LBCP) for wireless sensor networks is related to the grouping of the sensor nodes into clusters to enhance the overall scalability of the network. A selected set of nodes, known as gateway nodes, will act as cluster-heads for each cluster and the objective is to balance the load among these gateways. C. P. Low has proposed a 3/2 approximation algorithm for this problem. This paper has proved that the main lemmas are wrong. It also designs a novel 2 - approximation algorithm based on network flow for this problem. It has proved that this algorithm can get better solutions than C. P. Low' s algorithm in large wireless sensor net- works.
Keywords:wireless sensor networks  network flow  LBCP  approximation algorithm
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