无线传感器网络软故障诊断算法

Soft fault diagnosis algorithm for wireless sensor networks

在无线传感器网络中,软故障节点会产生并传输错误数据,这不仅会形成错误的决策,还会消耗能量,为此,提出一种基于节省能量的故障诊断(EFD)算法。该算法利用节点感知数据的空间相似性,通过对邻点所感知的传感数据进行比较,确定检测节点状态。对于网络中存在的节点瞬时故障,该算法引用TF模型思想,避免了不必要的数据比较,减少了时间冗余的检测次数。仿真结果表明:EFD算法能够提高网络诊断精度,同时可以降低诊断过程的能量消耗。

In wireless sensor networks（WSNs）,soft fault nodes may generate and transmit false data,which will not only causes wrong decision but also will consumes more energy,because of this,present an energy-efficiency fault diagnosis（EFD） algorithm to save energy.The algorithm makes use of spatial similarity of node sense datas to determine state of detected node by comparison of sensing data sensed by neighboring nodes.Considering transient fault,the algorithm uses total fault-free （TF） model idea to avoid unnecessary data comparison,and reduce detection times of time redundancy.Simulation results show that the EFD algorithm can improve precision of network diagnosis and reduce energy consumption in diagnosis process.