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Sensor scheduling algorithms requiring limited computation

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.

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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.

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Murray, Richard M.0000-0002-5785-7481
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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Air Force Office of Scientific Research (AFOSR)F49620-01-1-0460
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:54675
Deposited By: Shirley Slattery
Deposited On:12 Feb 2015 00:29
Last Modified:10 Nov 2021 20:36

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