Use of wireless sensor networks for distributed event detection in disaster management applications

M. Bahrepour, Nirvana Meratnia, Mannes Poel, Zahra Taghikhaki, Paul J.M. Havinga

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    Recently, wireless sensor networks (WSNs) have become mature enough to go beyond being simple fine-grained continuous monitoring platforms and have become one of the enabling technologies for early-warning disaster systems. Event detection functionality of WSNs can be of great help and importance for (near) real-time detection of, for example, meteorological natural hazards and wild and residential fires. From the data-mining perspective, many real world events exhibit specific patterns, which can be detected by applying machine learning (ML) techniques. In this paper, we introduce ML techniques for distributed event detection in WSNs and evaluate their performance and applicability for early detection of disasters, specifically residential fires. To this end, we present a distributed event detection approach incorporating a novel reputation-based voting and the decision tree and evaluate its performance in terms of detection accuracy and time complexity.
    Original languageUndefined
    Pages (from-to)58-69
    Number of pages12
    JournalInternational Journal of Space-Based and Situated Computing
    Issue number1
    Publication statusPublished - Feb 2012


    • situated computing
    • EWI-21739
    • Event Detection
    • IR-80433
    • Wireless Sensor Networks
    • WSNs
    • METIS-296048
    • Disaster early warning systems

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