无线传感网络分段线性融合定位算法  

A piecewise linear fusion localization algorithm for wireless sensor networks

作　　者：李锋[1] 魏楚强 Li Feng;Wei Chuqiang(Guangdong Communication Polytechnic,Guangzhou 510650,China)

机构地区：[1]广东交通职业技术学院,广东广州510650

出　　处：《网络安全与数据治理》2022年第10期72-77,共6页CYBER SECURITY AND DATA GOVERNANCE

基　　金：2022年广州市基础与应用基础研究项目(1715);2022年广东省科技创新战略专项资金项目(攀登计划)(pdjh2022b0857)。

摘　　要：为实现对移动节点精确定位,提出一种基于APIT-3D的移动节点定位模型和算法,综合3D-DVHop跳段距离和RSSI测距技术,在计算内测点与最近椎面距离基础上,利用与椎体成形体积判断内测点位置,有效避免“In-To-Out”和“Out-To-In”两类错误产生。在确定椎体重叠区域后,通过最小二乘法结合空间分段线性融合方式计算节点位置。仿真实验证明,该分段线性融合定位算法对移动节点定位在百分之25th,50th和75th定位偏差值分别为1.81 m,2.45 m和3.32 m,并能判断运动趋势,追踪移动目标,描述运动轨迹。该算法为无线传感网络定位提供了算法借鉴和创新。In order to achieve accurate positioning of mobile nodes,a mobile node positioning model and algorithm based on APIT-3D is proposed,which integrates 3D DVHop segment skipping distance and RSSI ranging technology.On the basis of calculating the distance between the internal measurement point and the nearest vertebral surface,the position of the internal measurement point is judged by the volume of vertebroplasty,effectively avoiding the"In To Out"and"Out To In"errors.After determining the overlapping region of the vertebral body,the node position is calculated by the least square method combined with the spatial piecewise linear fitting.Simulation results show that the proposed algorithm can locate mobile nodes at 25th,50th and 70th with the deviation values of 1.81 m,2.45 m and 3.32 m respectively,and can judge the motion trend,track the moving target and describe the motion trajectory,providing algorithm reference and innovation for wireless sensor network location.

关 键 词：无线传感网络 APIT-3D In-To-Out Out-To-In 分段线性融合 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]