Research On Energy Optimization Of Wireless Sensor Network Based On SEP Protocol

In wireless sensor network,sensor nodes are powered by batteries,but the batteries used in WSN can't work after all of them are used up.Moreover,due to the low price and limited energy of nodes,the energy optimization of the whole network becomes the research focus in WSN field.Based on the stable election protocol,this paper proposes some optimization schemes.The main work of this paper is as follows:(1)The characteristics,architecture,network topology and routing protocol of wireless sensor network are studied.The research aims at the optimization of network topology to improve the energy consumption performance of the network.The paper mainly studies the working principle,advantages and disadvantages of the main classical routing protocols.The performance differences between low energy adaptive clustering hierarchy(LEACH)and stable voting protocol are analyzed.(2)In the paper,the concept of relative residual energy is proposed,which is added to the formula of cluster head election.In this way,it can reduce the possibility of nodes with less residual energy becoming cluster heads,and improve the possibility of nodes with more residual energy becoming cluster heads.In view of the fact that the cluster head node of SEP protocol sends all the data in the cluster to sink node,which may lead to premature death of cluster head node due to too much data sent,a data fusion scheme based on principal component analysis is proposed to reduce the number of cluster head nodes sent.The simulation results show that the scheme can improve the life time of nodes,reduce the pressure of sending data of cluster head nodes,and make the network life cycle longer.(3)In view of the fact that the cluster head node of SEP protocol sends data to sink node in the form of single hop,which may cause excessive energy consumption due to too long distance,this paper proposes an optimal routing algorithm based on Dijkstra algorithm.Through the simulation experiment,the results show that the optimization method can better balance the energy of each node,prolong the survival time of nodes,and prevent the network performance degradation caused by the premature death of a node.