Improved Routing Protocol of Wireless Sensor Network Based on Wavelet Neural Network

The resource and especially the node energy of the wireless sensor network are limited. It can effectively prolong the lifetime of the wireless sensor network by reducing the energy consumption in the process of information collection and transmission as much as possible. Hereby a routing protocol improved algorithm model based on wavelet neural network was proposed for saving the energy and prolonging the network lifetime. The proposed algorithm model combined the hierarchical structure of the wavelet neural network with the clustering structure of the network routing protocol. In each cluster a wavelet neural network model is designed, which process a large number of raw data collected by the sensors and obtains a few data representing the data information features of raw data. Thus the transmission amount of data is reduced and the energy is saved. The simulation results show that the improved algorithm has a better performance in balancing node energy and prolonging the lifetime of the network compared with the low energy adaptive clustering hierarchy (LEACH).