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

Youngchul Sung; Lang Tong; H. Vincent Poor

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

Youngchul Sung·Lang Tong·H. Vincent Poor

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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.

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Youngchul Sung, Lang Tong, H. Vincent Poor. 2005-01-21. A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields. https://arxiv.org/abs/cs/0501056

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