Multilayer security detection of wireless sensor networks based on NAWL-ILSTM

Traditional security detection methods are difficult to meet the real-time, accurate, energy-saving, and scalability requirements of wireless sensor networks. Therefore, design a multi-layer security detection scheme for NAWL-ILSTM and apply it to wireless sensor networks. The concept of mobile Agent is introduced, estimate node spacing using signal attenuation characteristics. The wireless sensor network is divided into multi-layer structures, and the static state of network nodes and the transfer state during the transmission task are analyzed, combined with the LSTM network and NAWL optimization algorithm of online updating mechanism. The introduction of real-time observation data and on-line updating of parameters realize multi-layer security detection of wireless sensor networks. The experiment shows that the false alarm rate of the design method is as low as 2%, and the recall rate is as high as 0.91, and the average detection time is generally low, especially when the number of iterations is 30, 40 and 50, the detection time is the shortest, which is 0.41s, 0.37s and 0.38s respectively.