A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields
Youngchul Sung, Lang Tong, H. Vincent Poor · 2006
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 monotonically increases with respect to sensor spacing, while at low SNR, there is an optimal spacing for scheduled sensors.