An Online Outlier Detection Technique for Wireless Sensor Networks using Unsupervised Quarter-Sphere Support Vector Machine

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    Abstract

    The main challenge faced by outlier detection techniques designed for wireless sensor networks is achieving high detection rate and low false alarm rate while maintaining the resource consumption in the network to a minimum. In this paper, we propose an online outlier detection technique with low computational complexity and memory usage based on an unsupervised centered quarter-sphere support vector machine for real-time environmental monitoring applications of wireless sensor networks. The proposed approach is completely local and thus saves communication overhead and scales well with increase of nodes deployed. We take advantage of spatial correlations that exist in sensor data of adjacent nodes to reduce the false alarm rate in real-time. Experiments with both synthetic and real data collected from the Intel Berkeley Research Laboratory show that our technique achieves better mining performance in terms of parameter selection using different kernel functions compared to an earlier offline outlier detection technique designed for wireless sensor networks.
    Original languageUndefined
    Title of host publicationFourth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
    Place of PublicationSydney, Australia
    PublisherIEEE Computer Society
    Pages151-156
    Number of pages6
    ISBN (Print)978-1-4244-2957-8
    DOIs
    Publication statusPublished - 15 Dec 2008
    Event4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008 - Crown Plaza Hotel, Darling Harbour, Sydney, Australia
    Duration: 15 Dec 200818 Dec 2008
    Conference number: 4

    Publication series

    Name
    PublisherIEEE Computer Society
    NumberWoTUG-31

    Conference

    Conference4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
    Abbreviated titleISSNIP
    CountryAustralia
    CitySydney
    Period15/12/0818/12/08

    Keywords

    • EWI-14626
    • METIS-255014
    • IR-65225

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