Three-dimensional Positioning Mechanism Of Wireless Sensor Networks Based On Terrain Adaptive Correction

Three-dimensional positioning algorithm is becoming a popular subject for the continuous development of networking technology.How to improve the positioning accuracy is the most important thing.When using 3D DV-hop algorithm for wireless sensor positioning,the large positioning error and the instability make three-dimensional DV-hop algorithm practical ability poor.This paper presents an adaptive correction based on the terrain of three-dimensional positioning algorithm for wireless sensor networks.Use the value computing by the least squares method to adapt terrain by using the characteristics of the terrain,terrain from simple to complex,and gradually close to the real complex terrain,proposed five different terrain adaptation algorithm greatly improves the accuracy of positioning.Including the following six elements:1.The introduction of 3D localization mechanism for WSN.Elaborated Classic WSN 3D localization algorithm,First,the steps of the algorithms and calculation methods be provided,and describes the concept of relative positioning error which used to determine the localization algorithm’s effect.2.The 3D localization mechanism for WSN based on approximate projection correction is used in function model.Early research,simulated mountain terrain by intercepting the ball portion.The location results are projected to a point on the surface of the mountain terrain,with the projection point instead of the original results.Use the two-dimensional Gaussian distribution density function to simulate hill terrain is more general than the rules function,for the two-dimensional Gaussian distribution density function simulation model into the hills which is not a normal function,it can not be direct projection.This paper presents an approximate projection effect positive approach.3.The 3D localization mechanism for WSN based on approximate projection correction is used in terrain mesh data.Introducing realistic terrain mesh data.Make the node project to the three points identified surface and the projection point is unknown node position after correction.Point to the surface projection algorithm’s calculation is complex,so we introduce vector vertical projection algorithm.In the Gaussian density function modeling experiment mountain terrain mesh data,this method get much higher positioning accuracy.To further simplify the calculation,introduction of vector projection algorithm.First,compute the sum of two vectors,then use half of it to be the projection locating point.In summary,This paper’s main contribution is using topographical features,effectively improve the positioning accuracy.The first adaptation ideological terrain applied to the simple domed topography,followed by using the two-dimensional Gaussian distribution density function to be the terrain increase the complexity of the terrain,and then use the closest real terrain grid data,using three different algorithms,and gradually reduce the complexity of the algorithm.