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针对异构无线传感器网络簇头节点能耗大、网络寿命较低等问题,提出一种路由分簇算法.以均衡簇头节点的能耗为目标,采用引力搜索算法对网络簇头的通信链路进行规划,从而降低簇头节点间通信的负载能耗.为同时兼顾普通节点和簇头节点的工作时间,根据普通节点与高能节点携带能量的差异和簇头节点的负载情况进行分簇.实验结果表明,所提出的路由分簇算法相对于目前优化性能较好的粒子群算法(PSO)、遗传算法(GA)和最小距离聚类法(LDC),在不同检测环境、不同的节点布撒比例下,能够更好地均衡节点能耗,从而获得更长的网络寿命.
Aiming at the problems of energy consumption and lower lifetime of cluster head nodes in heterogeneous wireless sensor networks, a routing clustering algorithm is proposed to balance the energy consumption of cluster head nodes with gravitational search algorithm. And reduce the load energy consumption of communication between cluster heads.In order to take into account the working time of common node and cluster head node at the same time, the clustering is carried out according to the difference of carrying energy of common node and high energy node and the load of cluster head node. The experimental results show that the proposed routing clustering algorithm is superior to the current PSO (particle swarm optimization), genetic algorithm (GA) and minimum distance clustering (LDC) in different detection environments, different node fabrics Proportion, can better balance node energy consumption, resulting in longer network life.