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A Concept of Time Windows Length Selection in Stream Databases in the Context of Sensor Networks Monitoring

  • Conference paper
New Trends in Database and Information Systems II

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 312))

Abstract

Monitoring systems are a source of large amounts of data. These streams of data flow down as information which, in the case of sensor networks is often associated with the measurement of the selected physical signals. Processing of these data is a non-trivial issue, because accurate calculations often require dedicated solutions and large computing power.

In the case of flood embankment monitoring systems the essence of the calculation is the analysis of time series in terms of similarities to herald danger scenarios. This analysis also includes data series from neighboring sensors, which increases the difficulty of the calculation. This paper proposes the concept of a data analysis system, allowing for dynamic evaluation of the embankments.

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Authors and Affiliations

  1. Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Cracow, Poland

    Monika Chuchro, Michał Lupa, Anna Pięta, Adam Piórkowski & Andrzej Leśniak

Authors
  1. Monika Chuchro
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  2. Michał Lupa
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  3. Anna Pięta
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  4. Adam Piórkowski
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  5. Andrzej Leśniak
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Corresponding author

Correspondence to Monika Chuchro .

Editor information

Editors and Affiliations

  1. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Nick Bassiliades

  2. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanovic

  3. Faculty of Natural Science and Mathematics, Ss Cyril and Methodious University Institute for Informatics, Skopje, Macedonia

    Margita Kon-Popovska

  4. Department of Informatics, Aristotle University of Thessaloniki, University Campus, Thessaloniki, Greece

    Yannis Manolopoulos

  5. Paris Descartes University, Paris, France

    Themis Palpanas

  6. EECS Department, Northwestern University, Evanston, Illinois, USA

    Goce Trajcevski

  7. Department of Informatics, Aristotle University of Thessalonik, Thessaloniki, Greece

    Athena Vakali

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Chuchro, M., Lupa, M., Pięta, A., Piórkowski, A., Leśniak, A. (2015). A Concept of Time Windows Length Selection in Stream Databases in the Context of Sensor Networks Monitoring. In: Bassiliades, N., et al. New Trends in Database and Information Systems II. Advances in Intelligent Systems and Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-10518-5_14

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  • DOI: https://doi.org/10.1007/978-3-319-10518-5_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10517-8

  • Online ISBN: 978-3-319-10518-5

  • eBook Packages: EngineeringEngineering (R0)

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