基于模糊区域宽松距离的改进GEAR传感网络均衡算法

摘要

A sensor node effective choice for wireless sensor network communication has an important influence. Based on the analysis of the traditional GEAR sensor node distribution, an improved sensor equalization algorithm based on the fuzzy area of the distance from the loose network GEAR was proposed Using fuzzy interval differentiate based on a node,along with node, using a loose the method of distance to realize approach, relying on the fuzzy reliability nodes to get membership function, the final selection of nodes was completed The disadvantages that traditional GEAR node distribution algorithm depends on geographic location and energy costs priori knowledge to choose node was avoided The experiments show that communication energy consumption trend curve of this method is lower than traditional GEAR algorithm, and it has regulate sensing network congestion.%传感节点的有效选择对无线传感网络通信有着重要影响.在分析传统的GEAR传感节点分配算法基础上,提出基于模糊区域宽松距离的改进GEAR传感网络均衡算法.运用一种基于节点模糊区间划分,伴随节点运用一种宽松距离的方法进行逼近,依靠得到的模糊节点可靠性隶属度函数,完成对节点的最终选择,从而避免传统GEAR节点分配算法中单纯依靠地理位置与能量开销等先验知识进行节点选择的弊端.实验验证该方法的通信能量消耗曲线趋势要低于传统GEAR算法,能有效调节传感网络的拥塞.