An Energy Consumption Control Scheme Based on Radial Basis Function in Wireless Sensor Networks

Wireless sensor network node is resource constrained and difficult to replace its power. How to reduce energy consumption effectively is the practical problem. Existing literatures most designs solutions for a single application and performance evaluation protocols. Since the single node usually executes multiple applications, it is necessary to study the optimal energy consumption control scheme based on cross-application. The paper proposes a cross-application energy saving mechanism based on RBF for wireless sensor networks to control node energy consumption. Estimating cluster center using k-means clustering self-organizing algorithm based on neural network radial basis function. Then adjust and modify the weight matrix of the cluster center by Least Mean Square algorithm to realize data fusion. The simulation experiment results show that the node consumption can be significantly reduced after several rounds.