Relay Neurons Radial Automatic Control Algorithm and Application in WSN Nodes Localization

Wireless sensor network (WSN) node distribution has great uncertainty.In the low SNR and single receiving node and single modulation,the accurate localization is difficult with node redundancy and increased spending.The traditional method uses self organizing neural network control method for WSN node localization recognition,due to the destruction of neurons of basal neural network in the discharge of nuclear input relay capability,resulting in WSN node positioning is inaccurate,and an improved relay neurons radial automatic control algorithm is proposed to improve the disturbance rejection capability.The WSN nodes self organization is realized.Relay neurons radial control law is designed,the extended Kalman filter is used to monitor the WSN node MIMO behavior,the WSN node location and data monitoring is obtained.Simulation results show that the automatic control algorithm can effectively improve the automatic gain control and ensure the accurate localization of nodes in low SNR,the stability of WSN network is improved.