Gupta, Vijay and Chung, Timothy and Hassibi, Babak and Murray, Richard M. (2004) Sensor scheduling algorithms requiring limited computation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). Vol.3. IEEE , Piscataway, NJ, pp. 825-828. ISBN 0-7803-8484-9. https://resolver.caltech.edu/CaltechAUTHORS:20150211-071543730
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Abstract
In this paper, we consider the scenario where many sensors co-operate to estimate a process. Only one sensor can take a measurement at any time step. We wish to come up with optimal sensor scheduling algorithms. The problem is motivated by the use of sonar range-finders used by the vehicles on the Caltech Multi-Vehicle Wireless Testbed. We see that this problem involves searching a tree in general and propose and analyze two strategies for pruning the tree to keep the computation limited. The first is a sliding window strategy motivated by the Viterbi algorithm, and the second one uses thresholding. We also study a technique that employs choosing the sensors randomly from a probability distribution which can then be optimized. The performance of the algorithms are illustrated with the help of numerical examples.
Item Type: | Book Section | |||||||||
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Additional Information: | © 2004 IEEE. Work supported in part by AFOSR grant F49620-01-1-0460. Work supported in part by the Engineering Research Centers Program of the National Science Foundation under Award Number EEC-9402726 and also a grant from NASA. | |||||||||
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DOI: | 10.1109/ICASSP.2004.1326672 | |||||||||
Record Number: | CaltechAUTHORS:20150211-071543730 | |||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20150211-071543730 | |||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
ID Code: | 54675 | |||||||||
Collection: | CaltechAUTHORS | |||||||||
Deposited By: | Shirley Slattery | |||||||||
Deposited On: | 12 Feb 2015 00:29 | |||||||||
Last Modified: | 10 Nov 2021 20:36 |
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