By Topic

Low complexity least-square estimator for RSS-based localization in Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
A. I. Alhasant ; School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle Upon Tyne, UK ; B. S. Sharif ; C. C. Tsimenidis ; J. A. Neasham

This paper presents an efficient Received Signal Strength RSS-based localization approach utilizing a Tree Search Algorithm (TSA). In comparison to the existing exhaustive search algorithms, e.g. Least Square Estimators (LSE) and Error Controlling localization (Ecolocation), the proposed approach achieves considerable reduction in computational complexity and storage requirements. The effectiveness of the TSA is evaluated through simulation and real experiments. The presented results show that the performance of the new approach closely achieves LSE and performs better than Ecolocation algorithms. Moreover, at a comparable system complexities, TSA outperforms the simplistic Proximity and Centroid localization algorithms.

Published in:

Communications and Information Technology (ICCIT), 2012 International Conference on

Date of Conference:

26-28 June 2012