A Decentralized Positioning and Tracking Method for Wireless Sensor Networks Based on a Low-Complexity Incremental Algorithm

被引：0

作者：

Wang, Chin-Liang ^{[1
]}

Wu, Dong-Shing ^{[2
]}

机构：

[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 30013, Taiwan

[2] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu 30013, Taiwan

来源：

2009 IEEE 70TH VEHICULAR TECHNOLOGY CONFERENCE FALL, VOLS 1-4 | 2009年

关键词：

decentralized scheme; low-complexity incremental algorithm; positioning; tracking; wireless sensor networks;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a low-complexity incremental (LCI) algorithm for target positioning and tracking in wireless sensor networks. The proposed positioning scheme calculates the estimated location of a target as a nonlinear least squares (NLS) problem based on the distance estimation and solves the optimization problem in an iterative manner using the LCI algorithm. In the decentralized scheme, a participating sensor estimates a target's current location, and then passes that information on to the next participating sensor, which calculates the target's newest location estimate. In addition, a convergence analysis is given to show the convergence behavior of the LCI-based method. Computer simulation results demonstrate that the proposed algorithm has higher estimation accuracy than previous related algorithms in both stationary and moving target scenarios.

引用

页码：1861 / +

页数：2

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