基于熵权法与灰色关联分析的WSNs路由算法

针对路由协议链路质量不高与能耗较大的问题,提出了一种基于熵权法与灰色关联分析的无线传感器网络(WSNs)路由算法(BEGRA).首先建立下一跳节点的评价指标,其次引入熵权法确定各指标的权重,通过关联度分析法确定节点指标向量与参考向量间的加权关联度,最后由节点关联度的大小确定下一跳节点并确立路由路径.仿真结果表明:算法有效提高了网络生命周期,降低了网络能耗,且在网络数据传输效率方面具有良好性能.

WSNs routing algorithm based on entropy weight method and grey relational analysis

Aiming at the problems of low quality of routing protocol links and larger energy consumption,a wireless sensor networks(WSNs)routing algorithm based on entropy weight method and grey relational analysis (BEGRA)is proposed. Firstly,this algorithm establishes the evaluation indexes of next-hop node,then weight of each index is respectively determined by the method of entropy weight,the weighted correlation degree between the index vector and reference vector of the node are obtained through the correlation degree analysis method,finally the next-hop node is determined by the size of the node correlation degree and the node routing path is formed. Simulation results show that BEGRA effectively prolongs network life cycle,reduce the network energy consumption,and has good performance in terms of the efficiency of network data transmission.