二次栅格扫描与锚节点递减栅格扫描的定位算法  

Two grid scan and anchor node descending raster scan location algorithm

作　　者：宋海声[1] 周浩 沈伟 朱长驹 吴佳欣 Song Haisheng;Zhou Hao;Shen Wei;Zhu Changju;Wu Jiaxin(College of Physics&Electronic Engineering,Northwest Normal University,Lanzhou 730070,China;College of Electronic Information Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China;School of Integrated Circuits,Southeast University,Nanjing 210096,China)

机构地区：[1]西北师范大学物理与电子工程学院,兰州730070 [2]南京航空航天大学电子信息工程学院,南京211106 [3]东南大学微电子学院,南京210096

出　　处：《计算机应用研究》2020年第4期1179-1182,共4页Application Research of Computers

基　　金：甘肃省自然科学基金资助项目(1606RJZA065)。

摘　　要：为了提高无线传感器网络的定位精度,在Grid-Scan算法的基础上作进一步的改进。首先利用二次栅格扫描确定初始定位点,并产生缩小的定位区域;在该缩小区域内,将邻居锚节点与初始定位点间的距离转换为理论信号强度值,再对比邻居锚节点实际接收未知节点的信号强度,对邻居锚节点进行有条件递减,得到递减锚节点栅格扫描法则,最终确定未知节点的估计位置。通过仿真实验的对比,改良后的定位算法在一定程度上提高了定位精度。In order to improve the positioning accuracy of wireless sensor networks,so make further improvements on the basis of Grid-Scan algorithm.Firstly,the second raster scan determined the initial location point and generated the reduced location area.In the reduced area,by converting the distance between the neighboring anchor node and the initial location point to the theoretical signal strength value and comparing the signal strength of the neighboring anchor with that of the unknown node,and the neighboring anchor node was conditional.Reducing the grid scan rule of the descending anchor node and determining the position estimation of the unknown node.The simulation results show that the localization algorithm improves the positioning accuracy to a certain extent.

关 键 词：无线传感器网络 Grid-Scan算法 二次栅格扫描 信号强度 递减 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]