A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields
<|reference_start|>A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields: 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.<|reference_end|>
@article{sung2005a,
    title={A Large Deviations Approach to Sensor Scheduling for Detection of
  Correlated Random Fields},
    author={Youngchul Sung, Lang Tong and H. Vincent Poor},
    journal={arXiv preprint arXiv:cs/0501056},
    year={2005},
    archivePrefix={arXiv},
    eprint={cs/0501056},
    primaryClass={cs.IT math.IT}
}