The authors envisage a future where a number of sensor networks exist, each with thousands of sensors. One sensor network may be monitoring and controlling traffic, while another is used for environmental prediction. Users would be able to pose queries to find if there is heavy traffic on a particular road, if the shipments have reached their retail outlets etc. In this paper the authors address the issue of efficiently processing a large number of dynamic queries in such systems with streaming sensor data. Unlike the traditional database systems where the query optimiser generates query plans a priori, the authors need dynamic optimisation capability to process sensor data as the pattern data may change. The authors present the simple architecture of our system, and techniques to process such queries dynamically. The experimental simulation results presented show the tradeoffs of our techniques and their efficiency.


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    Titel :

    Adaptive query processing in large traffic sensor networks


    Weitere Titelangaben:

    Adaptive Abfrageverarbeitung in großen Verkehrssensornetzen


    Beteiligte:
    Ramakrishna, M.V. (Autor:in) / Kandaswamy, K. (Autor:in) / Patel, J. (Autor:in)


    Erscheinungsdatum :

    2005


    Format / Umfang :

    6 Seiten, 3 Bilder, 9 Tabellen, 14 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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