Use of Event Detection Approaches for Outlier Detection in Wireless Sensor Networks

M. Bahrepour, Y. Zhang, Nirvana Meratnia, Paul J.M. Havinga

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    22 Citations (Scopus)
    148 Downloads (Pure)

    Abstract

    Outliers or anomalies are generally considered to be those observations that are considerably diverged from normal pattern of data. Due to their special characteristics, e.g. constrained available resources, frequent physical failure, and often harsh deployment area, wireless sensor networks (WSNs) are more likely to generate outliers compared to their other wireless counterparts. Potential sources of deviated data in a series of measurements are errors, events, and/or malicious attacks on the network. Current studies tend to handle events and errors separately and propose different techniques for event detection as for outlier detection. By bringing the concept of outlier and event close together and assuming that events are some sorts of outliers, in this paper, we investigate applicability of pattern matching-based event detection techniques for outlier detection. Through extensive experiments, we evaluate performance of various event detection techniques to detect outliers and compare them with a recent outlier detection study.
    Original languageUndefined
    Title of host publicationProceedings of Symposium on Theoretical and Practical Aspects of Large-scale Wireless Sensor Networks, The 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2009 (ISSNIP 2009)
    Place of PublicationVictorian
    PublisherIEEE
    Pages439-444
    Number of pages6
    ISBN (Print)978-1-4244-3518-0
    DOIs
    Publication statusPublished - 7 Dec 2009
    Event5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009 - The University of Melbourne, Mellbourne, Australia
    Duration: 7 Dec 200910 Dec 2009
    Conference number: 5

    Publication series

    Name
    PublisherIEEE Press

    Conference

    Conference5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009
    Abbreviated titleISSNIP
    CountryAustralia
    CityMellbourne
    Period7/12/0910/12/09

    Keywords

    • METIS-264111
    • EWI-16437
    • IR-68745

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