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

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dc.creatorSung, Youngchul
dc.creatorTong, Lang
dc.creatorPoor, H. Vincent
dc.date2005-01-21
dc.date.accessioned2026-07-07T08:17:44Z
dc.date.available2026-07-07T08:17:44Z
dc.descriptionThe 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.
dc.description4 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
dc.identifierhttps://arxiv.org/abs/cs/0501056
dc.identifierhttp://arxiv.org/abs/cs/0501056
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134193
dc.subjectInformation Theory
dc.subjectE.4; H.1.1
dc.titleA Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields
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