Sensor Configuration and Activation for Field Detection in Large Sensor Arrays

Computer Science – Information Theory

Scientific paper

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7 pages with 11 figures; also to appear in the Fourth International Conference on Information Processing in Sensor Networks

Scientific paper

The problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the large-array performance of sensor networks in this application, the detection capabilities of different sensor configurations are analyzed and compared. The dependence of the optimal choice of configuration on parameters such as sensor signal-to-noise ratio (SNR), field correlation, etc., is examined, yielding insights into the most effective choices for sensor selection and activation in various operating regimes.

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