基于小世界模型的WSN簇间拓扑优化方法

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.

Topology Optimization Based on Small-world Model in Wireless Sensor Networks

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.