An Association Model of Sensor Properties for Event Diffusion Spotting Sensor Networks

  • Xiaoning Cui
  • Qing Li
  • Baohua Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4976)

Abstract

Recent years of research on sensor networks have resulted in multi-scale processing techniques for sensor data mining able to reflect the dynamic nature of real-world context. However, few of these techniques provide a systematic view of the relationships between sensor data streams and correlated network behaviors. In this paper, an association model of inherent, data and network properties is presented and analyzed for a suite of event diffusion spotting applications. Based on the associated model, window-based in-network cooperation is conducted for sensitive event diffusion spotting. Experimental results verify the performance of our approach, and confirm the scalability of our association perspective of sensor properties in such event diffusion spotting networks.

Keywords

Association model Diffusing event Sensor property Correlation In-network cooperation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Xiaoning Cui
    • 1
    • 2
    • 3
  • Qing Li
    • 2
    • 3
  • Baohua Zhao
    • 1
    • 2
  1. 1.Department of Computer Science and TechnologyUniversity of Science & Technology of ChinaHefeiChina
  2. 2.Joint Research Lab of ExcellenceCityU-USTC Advanced Research InstituteSuzhouChina
  3. 3.Department of Computer ScienceCity University of Hong KongHong KongChina

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