一种基于测量数据相似性的WSN分簇路由方法

A WSN Clustering Routing Method Based on Measured Data Similarity

针对无线传感器网络(Wireless Sensor Network,WSN)中节点能量有限、节点能耗不均衡导致网络生命周期较短的问题,提出一种基于测量数据相似性的分簇路由算法CRMDS(A WSN Clustering Routing Method based on Measured Data Similarity)。在分簇阶段,设计自适应聚类算法,将测量值相似性高的节点分为一簇,在每个簇中选择一个节点传送数据,簇内其他节点进入睡眠模式以节省网络能量。在数据传输阶段,根据节点的剩余能量和传送能耗动态地更替簇头节点,并设计传送次数因子和相对距离因子生成簇头节点之间的路由路径,平衡节点能耗。仿真结果表明,CRMDS算法相较于现有算法能够有效节省网络能量,延长网络生命周期。

Aiming at the short network life cycle caused by limited energy and unbalanced energy consumption of the nodes in wireless sensor networks,a clustering routing algorithm based on measured data similarity(CRMDS)is proposed.In the clustering stage,an adaptive clustering algorithm is designed to combine the nodes with higher similar values into a cluster,and one node is selected in each cluster to transmit data,other nodes enter sleep mode to save network energy.In the data transmission stage,to balance the energy consumption,the cluster-head nodes are dynamically replaced according to the remaining energy and transmission energy consumption of the sensor nodes.Simultaneously,the routing paths between cluster-head nodes are generated by the transmission times factor and the relative distance factor.Simulation results show that CRMDS algorithm can effectively save network energy and prolong network life cycle compared with existing algorithms.