Research On Indoor Mobile Node Location Technology Of Wireless Sensor Network

With the rapid development of science and technology,people's pursuit of quality of life continues to improve,large data,cloud computing,Internet of things,artificial intelligence has become a hot spot,intelligent,network,wireless has entered all aspects of people's lives.Today's technology is along the green,low energy consumption,wireless intelligent direction.It is precisely because of this trend,making the wireless sensor network(Wireless Sensor Networks,WSN)has become a popular technology in modern society.Because WSN network has the characteristics of large scale,self-organization,high robustness and low power consumption,it is especially suitable for positioning system of indoor positioning system,especially indoor mobile node.It is because of the high performance,low power requirements,so for the positioning of the advanced nature of the study,become a hot issue.On the study of such problems,the main contents of the paper are as follows:Aiming at the imperfection of ranging technology,the improved positioning algorithm of Voronoi diagram based on geometric constraint is proposed under multi-anchor nodes.By introducing the Cayley-Menger determinant,the constraint relation to the distance relation is obtained,and the constraint equation about the ranging error is obtained.The Lagrangian multiplier method is used to solve the equation,and the corrected distance information is applied to the multi-anchor node Voronoi diagram localization algorithm to optimize the algorithm.An improved Least Squares Fitting Monte Carlo(LSFMCL)localization algorithm is proposed,which can overcome the shortcomings of the traditional Monte Carlo localization algorithm due to the low sampling accuracy of the node.The least squares fit the motion trajectory of the node,and the initial position of the node is predicted.The sampling area is optimized and the sampling interval is determined.The concept of weight is also proposed and the position of the unknown node is calculated by using the weight information of the predicted node.The positioning technology of the indoor mobile node is designed and built on the hardware platform,and then the computer monitoring system of the indoor mobile node positioning system is developed by using VB.