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
Link To Document :
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