Outlier detection technique for RSS-based localization problems in wireless sensor networks

Yu Chi Chen, Wei Chih Sun, Jyh Ching Juang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
PublisherSociety of Instrument and Control Engineers (SICE)
Number of pages6
ISBN (Print)9784907764364
Publication statusPublished - 2010 Jan 1

Publication series

NameProceedings of the SICE Annual Conference

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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