The Research On Optimization Method For Location Accuracy Of Wireless Sensor Network

Wireless sensor network is a key technologies and has been widely used in many fields.With the development of 5G and artificial intelligence,wireless sensor network technology has important application prospects.This paper focuses on node positioning technology of wireless sensor network,the main work includes:It briefly describes the architecture,characteristics,application environment and key technologies of wireless sensor network.Several typical positioning algorithms based on ranging and non-ranging positioning algorithms are introduced,and the problems existing in these traditional positioning algorithms are analyzed.An improved centroid localization algorithm based on artificial fish swarm algorithm was proposed,aiming at the problem that the accuracy of the traditional centroid algorithm is not high.The distance between the anchor node and the unknown node is calculated by the weighted centroid algorithm,and the position of the unknown node is estimated.The fish nodes algorithm is used to optimize and correct the estimation results of unknown nodes so as to improve the positioning accuracy.The experiments show that the algorithm improves the location accuracy.Since sensor nodes can not all be equipped with GPS devices,the positioning process relies on a few static or moving anchor nodes with GPS devices.In three-dimensional space,a two-stage positioning algorithm based on bat algorithm is proposed.First,four half-anchor nodes are deployed and deployed at the corners of the cuboid area.The RSSI location algorithm and the bat algorithm are used to determine the initial location of the nodes.In the second stage,the bat algorithm is used to move the anchor node to the position where the sum of the angles formed with all unknown nodes is the largest,and RSSI positioning is performed again with the data in the first phase.Simulation results show that the two-stage algorithm has higher positioning accuracy.