DocumentCode
463546
Title
An Adaptive Algorithm for Sampling Two-Dimensional Fields using Mobile Sensors
Author
Huiyu Luo ; Xiangming Kong ; Pottie, Greg
Author_Institution
California Univ., Los Angeles, CA, USA
Volume
1
fYear
2007
fDate
15-20 April 2007
Abstract
In this paper, we propose an adaptive algorithm for sampling and reconstructing two-dimensional fields using mobile sensors that can move to designated locations to collect measurements. During each step, the algorithm selects the most desirable sampling sites from a pool of site candidates based on a Bayesian framework. Simulations show that the algorithm works effectively.
Keywords
Bayes methods; sensors; Bayesian framework; adaptive algorithm; mobile sensors; two-dimensional field reconstruction; two-dimensional field sampling; Adaptive algorithm; Adaptive systems; Algorithm design and analysis; Bayesian methods; Convergence; Image coding; Image reconstruction; Sampling methods; Sensor phenomena and characterization; Sensor systems; Adaptive systems; Bayes procedures; Delaunay triangulation; Spline functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Type
conf
DOI
10.1109/ICASSP.2007.366043
Filename
4217215
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