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International Journal of Navigation and Observation
Volume 2012 (2012), Article ID 961785, 11 pages
Research Article

Outlier-Detection-Based Indoor Localization System for Wireless Sensor Networks

Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan

Received 15 August 2011; Revised 21 December 2011; Accepted 6 February 2012

Academic Editor: Olivier Julien

Copyright © 2012 Yu-Chi Chen and Jyh-Ching Juang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The paper exploits the outlier detection techniques for wireless-sensor-network- (WSN-) based localization problem and proposes an outlier detection scheme to cope with noisy sensor data. The cheap and widely available measurement technique—received signal strength (RSS)—is usually taken into account in the indoor localization system, but the RSS measurements are known to be sensitive to the change of the environment. The paper develops an outlier detection scheme to deal with abnormal RSS data so as to obtain more reliable measurements for localization. The effectiveness of the proposed approach is verified experimentally in an indoor environment.