GEAR Sensing Network Equilibrium Algorithm Based on the Fuzzy Area Loose Distance
基于模糊区域宽松距离的改进GEAR传感网络均衡算法

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 dis- tribution 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.