Handling Spatio-temporal Sensor Data in Global Geographical Context with SENSORD

  • Takeshi Ikeda
  • Yutaka Inoue
  • Akio Sashima
  • Koichi Kurumatani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4836)


It is important to manage sensors’ locations and their attributes in a coordinated manner to realize context-aware services based on sensing data. A coordinated means of management is also necessary for middleware providing various information services. We have been developing Sensor-Event-Driven Service Coordination Middleware (SENSORD) to realize uniform management of various sensors, their locations and their attributes and higher-level service. It provides sensor locations for users using a unified view with region-specific geographical information, so SENSORD provides data access interfaces like GIS. Sensor locations are a component of that spatial information. Therefore, it is effective to aggregate them into geographical information. In this paper, we first describe SENSORD. Second, we explain methods of managing spatial information and the computational flow of acquiring sensor location information. Moreover, we show an application of SENSORD: an indoor emergency response system in our laboratories.


sensor sensor event middleware context-awareness spatio-temporal element 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Takeshi Ikeda
    • 1
  • Yutaka Inoue
    • 1
  • Akio Sashima
    • 1
  • Koichi Kurumatani
    • 1
  1. 1.National Institute of Advanced Industrial Science and Technology (AIST), CREST, JST, 2-41-6, Aomi, Koto, Tokyo 135-0064Japan

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