Research On Energy Saving Algorithm Of Non-Uniform Clustering In Wireless Sensor Networks

In energy-constrained wireless sensor networks,clustering is an effective strategy to minimize the energy consumption of nodes.The network is divided into multiple clusters,and each cluster has a coordinator named cluster head,which learns from its cluster members.Data is collected and forwarded to the base station through other cluster heads.Due to the high energy consumption caused by the data forwarding load,the cluster head close to the base station in the cluster has an earlier death time.The death of such nodes leads to network coverage loopholes very early and reduces the life cycle of the network.Therefore,it is of great significance to design a clustering algorithm to balance the energy consumption of network nodes and.delay the occurrence of monitoring loopholes.In non-uniformly clustered wireless sensor networks,the size of the cluster close to the base station is smaller than the size of the cluster far away from the base station.In the process of forming a cluster,the noncluster head node is generally added to the cluster head node to form a cluster.After the clustering is completed,the data collected by the sensor nodes are first collected to the cluster head,and then transmitted to the base station by one-hop or multi-hop routing strategy,which is the mainstream idea of the current research results.Among them,the process of non-cluster head nodes joining cluster head nodes to form clusters still needs to be further refined.After each round of clustering and data transmission is completed,Whether the round needs to perform new cluster heads selection still needs to give a more reasonable solution.In this thesis,an unequal clustering protocol(FEUC)based on fuzzy logic and entropy weight method is proposed to prolong the network life cycle.This mechanism forms clusters of different sizes.Fuzzy logic method is used to select cluster heads and non cluster head nodes join cluster head nodes to form clusters.The objective entropy weight method is used to select the relay cluster head to realize the multi hop routing strategy.Mamdani method is used for fuzzy reasoning.The variance of the residual energy of the whole sensor network is calculated and compared with the set threshold to determine whether to select a new cluster head.Compared with low-energy adaptive clustering hierarchy protocol(LEACH),energy aware unequal clustering fuzzy protocol(EAUCF)and fuzzy logic based unequal clustering protocol(FUCA),the proposed mechanism has better performance in various simulation scenarios.