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基于小世界模型的WSN簇间拓扑优化方法
引用本文:景维鹏,刘亚秋,杨显辉. 基于小世界模型的WSN簇间拓扑优化方法[J]. 计算机科学, 2010, 37(6): 28-31
作者姓名:景维鹏  刘亚秋  杨显辉
作者单位:东北林业大学信息与计算机工程学院,哈尔滨,150040
基金项目:中央高校基本科研业务费专项资金项目,哈尔滨市科技局青年创新人才基金,东北林业大学青年科研基金 
摘    要:针对无线传感器网络节点因能量消耗、硬件故障、通信因素等导致的链路失效问题,提出一种基于复杂网络小世界模型Kleinberg的无线传感器网络簇间拓扑优化方法,该方法依据簇头节点的局部视图ViewList信息中的长链与短链构建WSN簇间拓扑.实验分析表明,利用该方法演化的无线传感器网络拓扑在节点失效概率为0.2时,网络寿命比DECDC提高25%,并具有良好的能量均衡性和较低的消耗代价.该方法构建的拓扑具有较好的容错性和较强的鲁棒性.

关 键 词:复杂网络  最小世界模型  局部信息  容错性  鲁棒性
收稿时间:2009-07-07
修稿时间:2009-09-13

Topology Optimization Based on Small-world Model in Wireless Sensor Networks
JING Wei-peng,LIU Ya-qiu,YANU Xian-hui. Topology Optimization Based on Small-world Model in Wireless Sensor Networks[J]. Computer Science, 2010, 37(6): 28-31
Authors:JING Wei-peng  LIU Ya-qiu  YANU Xian-hui
Affiliation:(Information and Computer Engineering College, northeast Forestry University, Harbin 150040, China)
Abstract:According to wireless sensor network nodes energy consumption, hardware failure and communication factors lead to link failure,an evolving network method based on complex network theory of small-world Kleinberg model was proposed,which uses long chains and short chains in partial view information to build inter-cluster topology in wireless sensor network. Theoretical analysis and simulations show that the network lifetime is longer 25% than DECDC in the WSN topology which uses this method when the node failure probability is 0. 2 and it has a good balance of energy consumption and lower cost. Thus the topology which uses the method to build has fault tolerant and good robustness.
Keywords:Complex network   Small-world model   Partial view   Fault tolerance   Robustness
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