基于模糊层次分析法的WIA-PA健康评估方法

摘要

In view of problem that whole performance of WIA-PA will be reduced in long-term running because of energy consumption and node fault, the paper proposed a method of WIA-PA health evaluation based on FAHP. The method builds fuzzy consistent matrix through selecting six indexes that have great influence on network, namely numbers of failure node, signal intensity, node energy, link quality, packet loss rate and network delay, then it calculates evaluating score of each index to obtain average score of whole network, so as to realize judgment of level of WIA-PA health state. The experiment result showed that the method can judge network state effectively.%针对WIA-PA在长期运行过程中,由于能量消耗、节点故障等因素,网络整体性能下降的问题,提出了一种基于模糊层次分析法的WIA- PA健康评估方法.该方法通过选取对网络影响较大的6个指标,即失效节点数量、信号强度、节点能量、链路质量、丢包率及网络延时,建立模糊一致判定矩阵,然后计算出各个指标的评估分数,得出整个网络的平均分数,从而实现对WIA-PA健康状态等级的判定.实验结果表明,该方法可有效地判定网络状态.