摘要
将下一跳节点的剩余能量、本节点与发送节点的通信距离以及到SINK节点的通信距离之和作为模糊理论综合评判法的参数,通过模糊控制计算出下一跳节点的可选度。可选度最高的节点即为下一跳节点。建立了网络自适应路由,通过多跳的方式传输数据。仿真实验表明,RAFT算法可以更好地均衡网络各节点的负载,明显降低网络能耗并提高节点生命周期。
The residual energy and sum of communication distance between the original node and the next hop node and between the original node and SINK node are taken as the parameters of comprehensive fuzzy evaluation to calculate the optional degree of next hop node.The node with the highest optional degree is the next hop node.Adaptive routing is built with multi hop manner for data transfer.Simulation shows that routing algorithm for WSN based on adaptive fuzzy theory is effective to balance the load of each node in the network,reduce power consumption and improve the node life cycle.
出处
《长春工业大学学报》
CAS
2017年第2期144-149,共6页
Journal of Changchun University of Technology
基金
吉林省发改委经济结构战略调整引导资金专项项目(2014Y125)
吉林省教育厅"十二五"科学技术研究项目(吉教科合字[2015]第100号)
吉林省科技厅科技发展计划项目(20140204037GX)
关键词
无线传感器网络
路由算法
模糊控制
Wireless Sensor Network(WSN)
routing algorithm
fuzzy control