Adaptive Escape Particle Swarm Algorithm of the Network Node Coverage Optimization Simulation

Research of wireless sensor node optimization choice.LEACH traditional clustering algorithm,the nodes choose the randomness is very big,not very good reference node of the multiple attribute,the communication of the cluster head distribution is also disordered,the algorithm the energy consumption apportioned to all the nodes,once selected edge node as the cluster head,some node must go through a long routing forward to get to cluster head, cause communication low efficiency. In order to avoid the defect, the article puts forward a method based on adaptive escape particle swarm algorithm of the network node coverage optimization method.Establish adaptive escape particle swarm optimization mathematical model, accurately described network node covering problems. Using adaptive escape particle swarm method,calculation of wireless sensor network node optimal position,so as to realize the network node coverage optimization. The experimental results show that this algorithm can realize network node coverage optimization processing,so as to improve the wireless sensor network data transmission efficiency.