Process estimation and moving source detection in 2-D diffusion processes by scheduling of sensor networks

In this note, the problem of source detection for a diffusion process in a 2-D spatial domain is considered. An integrated state estimation and source detection scheme is proposed utilizing a sensor network. The sensing devices are assumed to measure spatial gradients as opposed to concentrations as...

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Bibliographic Details
Published in2007 American Control Conference pp. 3432 - 3437
Main Author Demetriou, M.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Cities and towns
Control systems
Diffusion processes
Distributed parameter systems
Distribution functions
Gradient Measurements
Moving Source
Partial differential equations
Position measurement
Process Estimation
Sensor Network
Sensor Placement
Sensor Scheduling
Sensor systems
Source Localization
State estimation
Time measurement
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Summary:In this note, the problem of source detection for a diffusion process in a 2-D spatial domain is considered. An integrated state estimation and source detection scheme is proposed utilizing a sensor network. The sensing devices are assumed to measure spatial gradients as opposed to concentrations as this enhances the source-detecting abilities of the sensor network. Included in this scheme is a sensor scheduling policy that during a time interval employs a subset of the available sensors while the remaining ones are kept in a "sleep/idle mode". Numerical studies are included to support the proposed scheme.
ISBN:9781424409884
1424409888
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2007.4282247