Optimized Low Complexity Sensor Node Positioning in Wireless Sensor Networks

Salman, N, Ghogho, M orcid.org/0000-0002-0055-7867 and Kemp, AH (2014) Optimized Low Complexity Sensor Node Positioning in Wireless Sensor Networks. IEEE Sensors Journal, 14 (1). pp. 39-46. ISSN 1530-437X



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Keywords: Localization; Received signal strength (RSS); estimation theory; least squares approximations; mean square error methods; minimisation; wireless sensor networks; CRB; LLS method; WLS algorithm; WSN; energy consumption; linear Cramer-Rao bound model; linear least square method; minimization technique; node power computation; optimal reference anchor selection technique; optimized low complexity sensor node; positioning; received signal strength; reference anchor optimization; theoretical mean square error; unbiased RSS location estimator; weighted least square algorithm; wireless sensor network; Cramer–Rao bound; Complexity theory; Covariance matrices; Maximum likelihood estimation; Noise; Vectors; Wireless sensor networks
  • Accepted: 5 August 2013
  • Published (online): 20 August 2013
  • Published: January 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Jan 2015 14:38
Last Modified: 27 Feb 2019 16:29
Published Version: http://dx.doi.org/10.1109/JSEN.2013.2278864
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/JSEN.2013.2278864
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