Outlier-detection-based indoor localization system for wireless sensor networks

Abstract

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 techniquereceived 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. © Copyright 2012 Yu-Chi Chen and Jyh-Ching Juang.