Path loss exponent estimation for wireless sensor network localization

被引：145

作者：

Mao, Guoqiang ^{[1
]}

Anderson, Brian D. O.

Fidan, Baris

机构：

[1] Univ Sydney, Sydney, NSW 2006, Australia

[2] Natl ICT Australia, Sydney, NSW 2006, Australia

[3] Australian Natl Univ, Canberra, ACT, Australia

[4] Natl ICT Australia, Canberra, ACT, Australia

来源：

COMPUTER NETWORKS | 2007年 / 51卷 / 10期

基金：

澳大利亚研究理事会;

关键词：

sensor network; path loss exponent; Cayley-Menger determinant; data fusion;

D O I：

10.1016/j.comnet.2006.11.007

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The wireless received signal strength (RSS) based localization techniques have attracted significant research interest for their simplicity. The RSS based localization techniques can be divided into two categories: the distance estimation based and the RSS profiling based techniques. The path loss exponent (PLE) is a key parameter in the distance estimation based localization algorithms, where distance is estimated from the RSS. The PLE measures the rate at which the RSS decreases with distance, and its value depends on the specific propagation environment. Existing techniques on PLE estimation rely on both RSS measurements and distance measurements in the same environment to calibrate the PLE. However, distance measurements can be difficult and expensive to obtain in some environments. In this paper we propose several techniques for online calibration of the PLE in wireless sensor networks without relying on distance measurements. We demonstrate that it is possible to estimate the PLE using only power measurements and the geometric constraints associated with planarity in a wireless sensor network. This may have a significant impact on distance-based wireless sensor network localization. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：2467 / 2483

页数：17

共 28 条

[11]

Krishnan P, 2004, IEEE INFOCOM SER, P1001

[12]

LYMBEROPOULOS D, 2005, 050501 ENALAB

[13]

Madigan D, 2005, IEEE INFOCOM SER, P1217

[14]

Mao G., 2006, SENSOR NETWORK CONFI, P281

[15] Data fusion of power and time measurements for mobile terminal location [J].

McGuire, M ;

Plataniotis, KN ;

Venetsanopoulos, AN .

IEEE TRANSACTIONS ON MOBILE COMPUTING, 2005, 4 (02) :142-153

[16] Distribution of link distances in a wireless network [J].

Miller, LE .

JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY, 2001, 106 (02) :401-412

[17]

MULLEN JP, 2003, MOBILE COMPUTING COM, V7

[18] Localized positioning in ad hoc networks [J].

Niculescu, D ;

Nath, B .

PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL WORKSHOP ON SENSOR NETWORK PROTOCOLS AND APPLICATIONS, 2003, :42-50

[19]

Pahlavan K, 2005, WIRELESS INFORMATION NETWORKS, 2ND EDITION, P1, DOI 10.1002/0471738646

[20] Relative location estimation in wireless sensor networks [J].

Patwari, N ;

Hero, AO ;

Perkins, M ;

Correal, NS ;

O'Dea, RJ .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2003, 51 (08) :2137-2148

← 1 2 3 →