Technical Program

Paper Detail

Session:Signal Processing for Wireless Sensor Networks I
Time:Wednesday, May 19, 09:30 - 09:50
Presentation: Special Session Lecture
Topic: Special Sessions: Signal Processing for Wireless Sensor Networks
Authors: Vijay Gupta; California Institute of Technology 
 Timothy Chung; California Institute of Technology 
 Babak Hassibi; California Institute of Technology 
 Richard M Murray; California Institute of Technology 
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.

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