A New Approach to Sensor Node Localization Using RSS Measurements in Wireless Sensor Networks

Author

Wang, Gang ; Yang, Kehu

Author_Institution

State Key Lab. of Integrated Services Networks (ISN Lab.), Xidian Univ., Xi´´an, China

Volume

10

Issue

5

fYear

2011

fDate

5/1/2011 12:00:00 AM

Firstpage

1389

Lastpage

1395

Abstract

In this letter, we propose a new approach to the localization problem in wireless sensor networks using received-signal-strength (RSS) measurements. The problem is reformulated under the equivalent exponential transformation of the conventional path loss measurement model and the unscented transformation (UT), and is approximately approached by the maximum likelihood (ML) parameter estimation, which we refer to as the weighted least squares (WLS) approach. This formulation is used for sensor node localization in both noncooperative and cooperative scenarios. Simulation results confirm the effectiveness of the approach for both outdoor and indoor environments.

Keywords

least squares approximations; loss measurement; maximum likelihood estimation; wireless sensor networks; RSS measurements; WLS approach; maximum likelihood parameter estimation; path loss measurement model; received-signal-strength measurement; sensor node localization; unscented transformation; weighted least squares approach; wireless sensor networks; Complexity theory; Indoor environments; Least squares approximation; Loss measurement; Noise; Wireless sensor networks; Localization; received signal strength (RSS); semidefinite programming (SDP); weighted least squares (WLS);

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2011.031611.101585

Filename

5739089