基于FAHP的机械振动WSN均衡拓扑构建方法

针对机械振动无线传感器网络因拓扑不均衡导致传输时延和网络传输能耗增加的问题,提出了一种基于模糊层次分析(fuzzy analytic hierarchy process,简称FAHP)的均衡拓扑构建方法,该方法由构建模糊判断矩阵和计算权重向量组成。首先,传感器节点进行簇内通信获取信标广播信息,将信标节点网络决策因子统一量纲化,利用网络决策因子构建模糊判断矩阵;其次,检验模糊判断矩阵一致性,采用行和归一化处理或拉格朗日最小二乘法计算权重向量;最后,传感器节点通过权重向量计算出各个信标节点综合权值,关联最优信标节点为父节点加入网络,将提出的模糊层次分析拓扑构建方法与基于链路质量单准则构建网络拓扑机制进行对比。实验结果表明,该方法能有效改善传输时延和机械振动无线传感器节点网络寿命。

Balance Topology Construction Method for Machine Vibration Wireless Sensor Networks Based on Fuzzy Analytic Hierarchy Process

Aiming at the problems of increasing transmission delay and network transmission energy consumption due to topology imbalance of mechanical vibration wireless sensor network, a method of constructing a balance topology based on fuzzy analytic hierarchy process (FAHP) is proposed, which consists of fuzzy judgment matrix and calculating the weight vector. Firstly, the nodes communicate with each other to get the beacon broadcast information, to make network decision factors of beacon node unify dimension and to construct fuzzy judgment matrix by using network decision factors. Then, the consistency of fuzzy judgment matrix is checked and the weight vector is calculated by normalization or Lagrange least square method. Finally, the comprehensive weights of each beacon node are calculated by the weight vector, and the optimal beacon node is chosen as parent node to join the network. A comparative experiment is carried out based on link quality indicator to construct network topology mechanism and the experiment results indicate that the transmission delay and networks lifetime of machine vibration wireless sensor network nodes can be effectively improved by this method.