Outlier detection techniques for wireless sensor networks: A survey

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

    Research output: Contribution to journalArticleAcademicpeer-review

    633 Citations (Scopus)
    940 Downloads (Pure)


    In the field of wireless sensor networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to wireless sensor networks due to the nature of sensor data and specific requirements and limitations of the wireless sensor networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the wireless sensor networks. Additionally, it presents a technique-based taxonomy and a comparative table to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier identity, and outlier degree.
    Original languageUndefined
    Pages (from-to)159-170
    Number of pages12
    JournalIEEE communications surveys & tutorials
    Issue number2
    Publication statusPublished - 2010


    • Outlier Detection
    • taxonomy
    • EWI-18041
    • Outlier
    • IR-72513
    • Wireless Sensor Networks
    • METIS-278690

    Cite this