Title :
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
fDate :
5/1/2011 12:00:00 AM
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);
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2011.031611.101585