Research And Design On Clustering Routing Protocol In Wireless Sensor Networks

With the rapid development of the Internet of things,wireless sensor network technology,as one of its key technologies,also develops rapidly.As the biggest problem of wireless sensor network technology is energy limitation,reducing network energy consumption and increasing node energy utilization is the focus of wireless sensor network research.Optimizing routing protocol is one of the effective ways to solve this problem.Clustering routing protocol of wireless sensor network based on the research,aiming at the problem of unbalanced energy consumption in wireless sensor network,this paper focuses on the problem of unbalanced energy consumption in wireless sensor network,first of all,considering the routing structure,an improved method based on weighted optimization tree routing algorithm,which considering the residual energy of nodes,available memory,the influence of the distance of adjacent nodes,channel quality,and weighted optimization of tree structure is put forward,and the tree structure is applied to clustering routing algorithm.The data transmission cost is set according to the distance channel quality of the adjacent nodes of the remaining energy available memory of the nodes,and based on this,the weighted optimization of the tree topology structure is carried out,and the tree network topology structure is created in the cluster in a distributed way,which reduces the total cost of data transmission in the network.Through this network structure,improve the condition of the energy consumption of network nodes in disequilibrium,and extend the network life time,and balance the energy consumption in the network.In order to further improve the energy of the nodes in wireless sensor network utilization,increase the survival time of network nodes and enhance the scalability of the network,considering the independent improvements on the clustering,this paper proposes a multiple factors autonomous clustering routing algorithm based on the combination of communication nodes and multi-hop transmission.Firstly,the communication nodes in the network are selected,then the cluster heads are selected by using the communication nodes,and the cluster heads are clustered again according to the contact probability between the cluster heads to reduce the unnecessary load on the cluster heads.Finally,the chain routing structure is adopted and the transmission path is weighted optimized,and the intermediate communication nodes are used to relay multi-hop transmission.Through to control the points of network communication node cluster,make a clustering more reasonable,combined with the residual energy of nodes of the distance between cluster head and base station and the number of neighbor nodes to optimize the choice of path node,improved the local optimum of multiple hops transmission path construction algorithm,improve the energy utilization of each node,prolong the network life time.Finally,through NS2 simulation platform,this paper compares LEACH,EEUC,LEACH-H,HMR and improved WOTC,MFACR.The simulation results show that the improved WOTC algorithm improved node energy utilization by 25% and MFACR algorithm by 28%.In terms of network survival time,WOTC algorithm extended by 40% and MFACR algorithm extended by 64%.In terms of the number of packets received in the same time period,MFACR increased by 40%.