TY - GEN
T1 - Outlier detection technique for RSS-based localization problems in wireless sensor networks
AU - Chen, Yu Chi
AU - Sun, Wei Chih
AU - Juang, Jyh Ching
PY - 2010/1/1
Y1 - 2010/1/1
N2 - This paper explores the outlier detection technique to account for interference and blockage of radio signals in a received signal strength (RSS) based indoor wireless sensor network (WSN) localization system. An outlier is the abnormal data or observation in comparison with other data in the dataset. In the real world applications, outliers which are almost unavoidable may affect the integrity, reliability, and performance of the system. The paper proposes a new outlier detection technique to mitigate the influence of outliers in the localization of wireless sensor networks.
AB - This paper explores the outlier detection technique to account for interference and blockage of radio signals in a received signal strength (RSS) based indoor wireless sensor network (WSN) localization system. An outlier is the abnormal data or observation in comparison with other data in the dataset. In the real world applications, outliers which are almost unavoidable may affect the integrity, reliability, and performance of the system. The paper proposes a new outlier detection technique to mitigate the influence of outliers in the localization of wireless sensor networks.
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M3 - Conference contribution
AN - SCOPUS:78649255819
SN - 9784907764364
T3 - Proceedings of the SICE Annual Conference
SP - 657
EP - 662
BT - Proceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
PB - Society of Instrument and Control Engineers (SICE)
ER -