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27th IEEE International Real-Time Systems Symposium (RTSS'06)   pp. 401-411
Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks
Sharmila Subramaniam, University of California, Riverside, USA
Vana Kalogeraki, University of California, Riverside, USA
Themis Palpanas, IBM T.J. Watson Research Center

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTSS.2006.19
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Abstract
In many applications we can deploy large number of sensors spanning wide geographical areas, to monitor environmental phenomena. The analysis of the data collected by such sensor network can help us to understand the field dynamics, and optimize the deployment of other solutions. We define a group of sensors having similar underlying distribution over a period of time as a homogeneous region. In this paper we propose distributed algorithms to detect such regions, approximate their boundary with a piece-wise linear curve and track the boundary in real-time. Experimental results show the accuracy and efficiency of our detection and tracking algorithms.
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Citation:  Sharmila Subramaniam, Vana Kalogeraki, Themis Palpanas, "Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks," rtss, pp. 401-411,  27th IEEE International Real-Time Systems Symposium (RTSS'06),  2006