A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields
Information Theory
2007-07-16 v1 math.IT
Abstract
The problem of scheduling sensor transmissions for the detection of correlated random fields using spatially deployed sensors is considered. Using the large deviations principle, a closed-form expression for the error exponent of the miss probability is given as a function of the sensor spacing and signal-to-noise ratio (SNR). It is shown that the error exponent has a distinct characteristic: at high SNR, the error exponent is monotonically increasing with respect to sensor spacing, while at low SNR there is an optimal spacing for scheduled sensors.
Cite
@article{arxiv.cs/0501056,
title = {A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields},
author = {Youngchul Sung and Lang Tong and H. Vincent Poor},
journal= {arXiv preprint arXiv:cs/0501056},
year = {2007}
}
Comments
4 pages with 6 figures, to appear in Proceedings of the 2005 IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, PA, March 19 - 23, 2005