Algorithm for Wireless Sensor Network Data Fusion Based on Radial Basis Function Neural Networks

This paper presents a data fusion method on wireless sensor network based on radial basis function neural networks. In consideration of the hierarchical relationship topology wireless sensor networks, data acquisition, handling and delivery, we proposed a typical classification approach based on radial basis function neural networks. Optimization strategy adopted to process node data for each node indicated different reaction related with energy consumption. Simulation results verify that the method converges fast and effectively.