The Research On Routing Algorithm Of Wireless Sensor Network Based On Energy Perception

In the past two years,with the rapid development of artificial intelligence technology,human society and natural living methods have undergone disruptive changes,and the Internet of Things industry has received unprecedented attention.Wireless Sensor Networks(WSNs)technology,as the key technology of the Internet of Things' s perception layer,has received extensive attention from the academic and industrial circles in the field of Internet of Things research.Currently,wireless sensor networks are moving in the direction of small nodes,low energy consumption and multiple performance,and need to be able to be deployed in complex geographical and space environments.At the same time,wireless sensor networks still have some key issues that need to be optimized.This thesis starts from the practical application background,in the application field of energy-constrained sensor networks,how to improve the life cycle of the network,and design an effective wireless sensor network topology control and routing protocol has a decisive position.This paper deeply studies the related theories of WSNs routing algorithm,determines the optimization method of routing protocol from the energy point of view,and combines the evolution model of biological cells,tries to design a new network topology control protocol and networking algorithm to solve the energy consumption and path planning problems in the network.The main contents and contributions of this paper include the following aspects:1?deeply study of wireless sensor network architecture and routing algorithmThis paper systematically analyzes the research status and future development of wireless sensor networks both at home and abroad.It discusses in depth the various perspectives of WSNs architecture,key research techniques,and performance metrics,and points out the current development of wireless sensor network technologies.The advantages and challenges faced have been explored from various perspectives,such as communication distance,topology structure,and communication energy consumption,for wireless sensor network routing algorithms.The defects anddeficiencies of the current clustering algorithms have been summarized as wireless sensors.The study of network routing algorithms provides the theoretical basis and reference.2? An energy perception clustering optimization algorithm is proposed.In view of the limitations of the traditional clustering algorithm in the cluster head division,this paper analyzes the defects in the traditional clustering algorithm,introduces energy and other reference factors,and improves the traditional method based on the ratio of the current node energy to the total energy.The definition of the threshold at the time of cluster head election;through the improvement of the election of cluster heads,the number of optimal cluster heads in the network is determined,achieving the purpose of balancing the energy consumption of nodes,improving the energy efficiency of network nodes and extending the network life cycle.3?A biological heuristic clustering optimization algorithm based on Slime Mold model is proposed.In this paper,the application of mobile nodes in the Internet of Things,the foraging behavior of biological cell Slime Mold,combined with the characteristics of the effective dynamic pipeline network formed by the biological characteristics of Slime Mold,a biological heuristic based on the Slime Mold model is proposed.The clustering optimization algorithm uses the cluster head as the food source of bacteria and the moving path of the mobile node as the pipeline to construct a new Slime Mold network topology control model;this algorithm can effectively form a dynamic network structure and improve the network's resistance to the environment.Disturbance and adaptability.The experimental results show that the life cycle of the network is improved by about 12%,the data transmission efficiency is significantly improved,and the energy consumption of the remaining nodes is equalized;therefore,the algorithm can not only improve the anti-interference of the network but also greatly reduce the energy consumption of the network and improve The overall performance of the network.