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Stream-Based Real World Information Integration Framework

  • Chapter
Wireless Sensor Network Technologies for the Information Explosion Era

Part of the book series: Studies in Computational Intelligence ((SCI,volume 278))

Abstract

For real world oriented applications to easily use sensor data obtained frommultiple wireless sensor networks, a data management infrastructure is mandatory. The infrastructure design should be based on the philosophy of a novel framework beyond the relational data management for two reasons: First is the freshness of data. To keep sensor data fresh, an infrastructure should process data efficiently; this means conventional time consuming transaction processing methodology is inappropriate. Second is the diversity of functions. The primary purpose of sensor data applications is to detect events; unfortunately, relational operators contribute little toward this purpose. This chapter presents a framework that directly supports efficient processing and a variety of advanced functions. Stream processing is the key concept of the framework. Regarding the efficiency requirement, we present a multiple query optimization technique for query processing over data streams; we also present an efficient data archiving technique. To meet the functions requirement, we present several techniques on event detection, which include complex event processing, probabilistic reasoning, and continuous media integration.

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Author information

Authors and Affiliations

  1. Graduate School of Systems and Information Engineering and Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan

    Hiroyuki Kitagawa, Hideyuki Kawashima & Toshiyuki Amagasa

  2. Global Scientific Information and Computing Center, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan

    Yousuke Watanabe

Authors
  1. Hiroyuki Kitagawa
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  2. Yousuke Watanabe
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  3. Hideyuki Kawashima
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  4. Toshiyuki Amagasa
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Editor information

Editors and Affiliations

  1. Department of Multimedia Engineering Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka Suita, 565-0871, Osaka, Japan

    Takahiro Hara

  2. Department of Information Science and Telecommunications School of Information Sciences, University of Pittsburgh, 135 North BellefieldAve, PA 15260, Pittsburgh, USA

    Vladimir I. Zadorozhny

  3. Institute for Program Structures und Data Organization, Karlsruhe Institute of Technology, Geb. 50.34 Am Fasanengarten 5, D-76131, Karlsruhe, Germany

    Erik Buchmann

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Kitagawa, H., Watanabe, Y., Kawashima, H., Amagasa, T. (2010). Stream-Based Real World Information Integration Framework. In: Hara, T., Zadorozhny, V.I., Buchmann, E. (eds) Wireless Sensor Network Technologies for the Information Explosion Era. Studies in Computational Intelligence, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13965-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-13965-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13964-2

  • Online ISBN: 978-3-642-13965-9

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