Energy Consumption Of Large-scale Wireless Sensor Networks Based On Complex Networks

With the rapid development of low-power embedded technology and wireless communication technology,there is an ever-growing performance of sensor nodes,which has greatly promoted the expansion of wireless sensor networks(WSNs)scale.Due to the limited energy of the sensor nodes,the system puts forward higher requirements for the energy loss of the network.The WSNs evolution model can optimize the network topology,so that the network can meet the connectivity requirements of nodes with as little energy loss as possible.Since the complexity and dynamic evolution of WSNs topology belong to the research category of complex network.Therefore,the application of complex network model theory to the establishment of WSNs model is of great significance for balancing network load and improving network performance.In order to further reduce the energy loss of WSNs,it is necessary to design an energy-saving cluster routing protocol based on the WSNs evolution model and considering various factors affecting the selection of cluster heads,such as node weight,residual energy of nodes and number of neighbor nodes.This article focuses on solving the problem of large-scale WSNs energy consumption.Through extensive literature research and analysis on the application of complex networks in WSNs and WSNs cluster routing protocols,a large-scale WSNs evolution model and cluster routing protocols are proposed.The main contents of this article are as follows:1)The related researches on WSNs and complex networks are described and analyzed.The research work related to the classification of WSNs clustered routing protocols is described in detail.Several classic network models in the development of complex networks are introduced,and the model is analyzed from the aspects of average path length,clustering coefficient and degree distribution.The complex network characteristics of WSNs are also analyzed in detail.2)A topological evolution model of WSNs with weight constraints under a bidirectional selection mechanism is proposed.The characteristics of the two-way selection mechanism and the effect of the weight constraint model on node weight constraints are analyzed.On the basis of the weight constraint model,the network node that has reached a certain condition is released from the constraint effect,and a certain connection probability is given to it,so that the problem that the new node cannot connect to the old node that has reached the maximum threshold is solved.The simulation results show that the evolution model has a balanced energy load and relatively uniform node distribution.3)An improved LEACH protocol based on multi-clustering factor weighting is proposed.The influence of three factors,including node weight,node remaining energy,and number of neighbor nodes,on cluster head selection and energy loss are analyzed.Based on the LEACH protocol,and the factors that affect the selection of cluster heads are added to the threshold selection formula by weighting,so that the cluster heads selected in each round have a better status,and in each cycle,the weight of cluster head influencing factors is optimized to minimize the energy loss in the network.The simulation results show that Simulation results show that compared with the LEACH protocol and the improved LEACH protocol,the routing protocol can effectively reduce the energy loss of the network,improve the energy utilization efficiency of the network,and achieve the purpose of extending the life of the network.