东篱科研大数据发现系统（DRDS）

位置：成果数据库 > 期刊 > 期刊详情页

LOCALIZATION ALGORITHM BASED ON MINIMUM CONDITION NUMBER FOR WIRELESS SENSOR NETWORKS

ISSN号：0217-9822
期刊名称：《电子科学学刊：英文版》
时间：0
分类：TP212[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] P228[天文地球—大地测量学与测量工程;天文地球—测绘科学与技术]
作者机构：[1]College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China, [2]Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
相关基金：Supported by the National Natural Science Foundation of China （No. 61003236; 61171053）, the Doctoral Yhnd of Ministry of Education of China （No. 20113223110002）, the Natural Science Major Program for Colleges and Universities in Jiangsu Province （No. 11KJA520001）, and Science ＆ Technology Innovation Fund for higher educa- tion institutions of Jiangsu Province （CXZZ12 0481）.

作者： Du Xiaoyu[1], Sun Lijuan[1,2], Xiao Fu[1,2], Wang Ruchuan[1,2]

关键词：无线传感器网络, 定位算法, 条件数, 定位精度, 等边三角形, 室内环境, 二维平面, 三维空间, Wireless Sensor Network （WSN）, 3D location, Beacon node, Fractional steps maximumlikelihood algorithm

中文摘要：

During range-based self-localization of Wireless Sensor Network (WSN) nodes, the number and placement methods of beacon nodes have a great influence on the accuracy of localization. This paper proves a theorem which describes the relationship between the placement of beacon nodes and whether the node can be located in 3D indoor environment. In fact, as the highest locating accuracy can be acquired when the beacon nodes form one or more equilateral triangles in 2D plane, we generalizes this conclusion to 3D space, and proposes a beacon nodes selection algorithm based on the minimum condition number to get the higher locating accuracy, which can minimize the influence of distance measurement error. Simulation results show that the algorithm is effective and feasible.

英文摘要：

During range-based self-localization of Wireless Sensor Network （WSN） nodes, the number and placement methods of beacon nodes have a great influence on the accuracy of localization. This paper proves a theorem which describes the relationship between the placement of beacon nodes and whether the node can be located in 3D indoor environment. In fact, as the highest locating accuracy can be acquired when the beacon nodes form one or more equilateral triangles in 2D plane, we generalizes this conclusion to 3D space, and proposes a beacon nodes selection algorithm based on the minimum condition number to get the higher locating accuracy, which can minimize the influence of distance measurement error. Simulation results show that the algorithm is effective and feasible.

同期刊论文项目