Research On Energy Balance In Wireless Sensor Networks Based On LEACH

Wireless sensor network which referred to as WSN is a node within a certain time and space to communicate with each other to achieve synergy,self-organizing network information acquisition and transmission,which combines the embedded computing technology,sensor technology,wireless communication technology,modern network technology etc..As the wireless sensor network hardware resources and energy are limited,and are usually used in bad environment where human intervention is not convenient,not easy in practical application of energy,so in the wireless sensor network,reducing the energy consumption and solving the problem of energy restriction have become a hot issue for scholars both at home and abroad.Routing protocol is the basis of realizing WSN energy balance,and the design and improvement of routing protocol is the key to prolonging network life and save network energy.In this paper,the problems of LEACH protocol in cluster head election,cluster head balance,data transmission and so on are studied in this paper,and the shortcomings of the protocol are improved.The main innovations and contents of this paper are as follows:(1)The WSN system discusses the research background,research status and application,elaborated the WSN system structure,technical performance and application fields,introduces and analyzes the WSN routing algorithm,discusses the classification of routing algorithms,focuses on the analysis of LEACH algorithm,analysis as the theoretical foundation for the implementation of this algorithm on the network structure and the technical performance,working process and the advantages and disadvantages..(2)In order to balance the cluster head density and save the energy of network in the process of data transmission,this paper proposes an improved LEACH algorithm based on probability forwarding.This algorithm considers the residual energy of nodes and the factors of elected cluster head number,through the improvement of calculation method of threshold to determine whether the node to be elected as the cluster head;in the stage of data transmission,cluster head through the probability forwarding mode selection data forwarding direction,in order to reduce the energy consumption in the phase of data transmission.Finally,the simulation and analysis of the improved algorithm is done through the MATLAB platform.The analysis results show that the improved algorithm can prolong the lifetime of the network and reduce the energy consumption of the network(3)In order to reduce the workload of cluster heads,an improved algorithm based on the Chicken Swarm Optimization(CSO)optimization cluster head is proposed in this paper.The algorithm uses two level cluster head work mode in order to share the work load of the cluster head,the combination between the residual energy of nodes and node distance by CSO algorithm to optimize the cluster head election,in order to reduce the cluster work burden,thus balancing the energy consumption of the network,the improved algorithm in the experiment and analysis the convergence speed and balance the network energy effect.The experimental results show that the algorithm not only has good convergence,but also has a great improvement in the energy of the balanced network.