DV-Hop Localization Algorithm Based on Minimum Mean Square Error in Internet of Things

被引：15

作者：

Li, Guangshun ^{[1
]}

Zhao, Shuaishuai ^{[1
]}

Wu, Junhua ^{[1
]}

Li, Chenglong ^{[1
]}

Liu, Yuncui ^{[1
]}

机构：

[1] Qufu Normal Univ, Sch Informat Sci & Engn, Rizhao 276826, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION AND KNOWLEDGE IN THE INTERNET OF THINGS | 2019年 / 147卷

基金：

中国国家自然科学基金;

关键词：

Node Positioning; DV-Hop Algorithm; Minimum Mean-square Error; Least Square Method;

D O I：

10.1016/j.procs.2019.01.272

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In the practical application of node positioning in the Internet of Things (TOT), the distribution of beacon nodes is generally nonuniform, so there is a certain error in positioning accuracy. In order to make the positioning more accurate, The MMSDV-Hop localization algorithm which improved DV-Hop localization algorithm is proposed in this paper. At first, this algorithm needs to determine the valid beacon nodes in a local range by selecting threshold value, and after using minimization criterion of mean square error and correcting to obtain the final average hop distance. The dynamic weight is added with the hop number and the number of valid nodes as weights to determine the distance between the unknown nodes and the beacon nodes. A Weighted centroid localization algorithm and a weighted least square method are used to obtain an estimated position separately and the final position is determined by the arithmetic mean value of the two estimated positions. The Matlab simulation experiment shows that compared with the DV-Hop localization algorithm, the improved MMSDV-Hop localization algorithm has increased significantly in the positioning accuracy. (C) 2019 The Authors. Published by Elsevier B.V.

引用

页码：458 / 462

页数：5

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