A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields

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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.
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

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Information Theory, E.4; H.1.1

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http://salesiana.dossiersoluciones.com/handle/123456789/134193

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0501056
 http://arxiv.org/abs/cs/0501056

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arXiv