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Proceedings Paper

Monitoring of diffusion processes with PDE models in wireless sensor networks
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Paper Abstract

The monitoring of a diffuse process, such as the propagation of a toxic gas in an area, using the partial differential equation (PED) model via autonomous wireless sensor networks is studied in this research. Sensor nodes update the base station with their estimates of PDE model parameters rather than raw sensor measurements. Then, the base station can reconstruct the phenomenon through model parameters and initial and boundary conditions. In-network processing techniques to estimate the PDE coefficients are presented. A scheme is presented to provide a hybrid combination of decision and data fusion to find a proper tradeoff between estimate accuracy and energy efficiency. Besides, several open issues in this research context, such as identifiability of parameters, monitoring of time varying boundary conditions and unknown sources, are discussed.

Paper Details

Date Published: 1 September 2004
PDF: 12 pages
Proc. SPIE 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI, (1 September 2004); doi: 10.1117/12.542719
Show Author Affiliations
Lorenzo A. Rossi, Univ. of Southern California (United States)
Bhaskar Krishnamachari, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5417:
Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI
Edward M. Carapezza, Editor(s)

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