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

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

2005-01-21

arxiv.org/abs/cs/0501056v1

Computer Science

Information Theory

4 pages with 6 figures, to appear in Proceedings of the 2005 IEEE International Conference on Acoustics, Speech and Signal Pro

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-279613