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In a distributed sensor network, the goodness of a sensor may change according to its current device status (e.g., health of hardware) and environment (e.g., wireless reception conditions at the sensor location). As a result, it is often necessary to validate periodically sensors in the field, in order to identify those which no longer work properly and eliminate them from applications' use. In this paper, the authors describe a spectral clustering approach of using peer sensors to identify these bad sensors. Using a simple model problem, they describe how their sensor validation method works and demonstrate its performance in simulation.
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