Research On Optimization Algorithm For Node Positioning In Wireless Sensor Network

In recent years,wireless sensor network(WSN)positioning technology has become the main research direction in the development of the Internet of Things.Whether it is mobile positioning or fixed positioning,its positioning speed and positioning accuracy directly affect the user experience.In this paper,the problem of node location in wireless sensor networks studied from the aspects of algorithm optimization and application implementation.Combining the fruit fly optimization algorithm(FOA)and the maximum expectation algorithm(EM),the EM-FOA fusion optimization algorithm obtained.Through the MATLAB experiment,the influence of the number of competitive nodes on the rapidity and accuracy of the positioning studied,and the data statistics compared.The competitive node transcendence phenomenon carries out data analysis,and the data analysis has the best performance in the four competing node periods.The EM-FOA algorithm compared with the LGMS-FOA algorithm and the DS-FOA algorithm to verify the superiority of the EM-FOA algorithm.Then,on the basis of the EM-FOA fusion algorithm,the anchor point independent variable introduced.Under the condition of 4 competing nodes,the influence of the number of anchor points on the node positioning studied by changing the number of anchor points.When the number of points is 12,the fusion algorithm has the best optimization effect and the performance greatly improved.Last,based on the application of wireless sensor positioning,this paper designs an intelligent manhole cover system based on zbr algorithm.Through the hardware design,the manhole cover can realize the functions of positioning,self-generation and state self-test.Through the NS-2 simulation,the feasibility and practicability of the scheme verified from the aspects of end-to-end delay,packet loss rate and control packet.Through the MATLAB,The optimal number of node layers in the system is 3 layers...