Fault diagnosis of WSNs node based on wavelet neural network

The purpose of this paper is to provide a new method of the fault diagnosis of wireless sensor networks (WSNs) node, which is based on wavelet neural network (WNN).

The approach uses WNN to diagnose the sensor module of the node.

The method based on WNN sensing parts of the WSN nodes in additional fault location is accurate feasible.

The fault of WSNs node protean, it is necessary to establish even more fault model for the training of WNN.

The simulation results provide useful guidelines for the engineers faced with the detection the fault of the WSN node.

The WNN is well‐known. The innovation here is applying this method in order to diagnose the fault of WSNs node.