Large-scale mobile wireless sensor network data fusion algorithm

In the process of data collection of large-scale delay tolerant mobile wireless sensor networks (MWSN), in order to reduce the energy consumption of sensor network data transmission, time consuming and low efficiency problems, a data fusion algorithm for mobile wireless sensor networks based on improved RBF neural network is proposed. The data fusion model is introduced into the RBF neural network model to determine the adaptive vector value, which can improve the efficiency and accuracy of the data fusion model. Simulation results show that the data fusion algorithm proposed in this paper is more effective than LEACH protocol, BP neural network data fusion algorithm, which effectively reduce the transmission of real-time data, improve the efficiency and reliability of the network, and provide a better energy efficiency for the network, more suitable for large-scale deployment, collection of intensive data MWSN.