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International Symposium on Spatial and Temporal Databases

SSTD 2011: Advances in Spatial and Temporal Databases pp 502–506Cite as

Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6849))

Abstract

We present a Sensor Web browser with an efficient spatio-temporal data loading mechanism as a client-side application in GeoCENS project. The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. By applying LOST-Tree, redundant transmissions are avoided and consequently enables efficient loading with cached sensor data.

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Author information

Authors and Affiliations

  1. Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada

    Chih-Yuan Huang, Rohana Rezel & Steve Liang

Authors
  1. Chih-Yuan Huang
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  2. Rohana Rezel
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  3. Steve Liang
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Editor information

Editors and Affiliations

  1. Institute for the Management of Information Systems, Research Center “ATHENA”, G.Mpakou 17, 11524, Athens, Greece

    Dieter Pfoser

  2. Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong SAR, China

    Yufei Tao

  3. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Kyriakos Mouratidis

  4. Department of Computing Science, ATH University of Alberta, T6G 2E8, Edmonton, Alberta, Canada

    Mario A. Nascimento

  5. Department of Computer Science and Engineering, University of Minnesota, 4-192, 200 Union St. SE, Minneapolis, MN, USA

    Mohamed Mokbel  & Shashi Shekhar  & 

  6. Department of Computer Science and Engineering, University of North Texas, 3040 North Elm, Denton, TX, USA

    Yan Huang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Huang, CY., Rezel, R., Liang, S. (2011). Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser. In: Pfoser, D., et al. Advances in Spatial and Temporal Databases. SSTD 2011. Lecture Notes in Computer Science, vol 6849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22922-0_39

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  • DOI: https://doi.org/10.1007/978-3-642-22922-0_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22921-3

  • Online ISBN: 978-3-642-22922-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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