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.