Energy Balance Algorithm Based on Particle Swarm Optimization and Minimum Spanning Tree Clustering

A new energy balance algorithm for wireless sensor networks is proposed.This algorithm through adaptive value to choose the best cluster head to reduce the energy consumption of the cluster nodes; The algorithm uses the minimum spanning tree clustering rules, the residual energy and distance and other factors to select the optimal number of cluster heads in order to ensure the quality of data transmission at the same time optimize the cluster head total energy consumption.Simulation results show that compared EEMDC algorithm and DE algorithm two energy balancing algorithm, the algorithm of the node average energy efficiency were increased by 6.7% and31.76%, the network node failure node number were decreased by 22% and 27%.