Data-driven machine learning calibration propagation in a hybrid sensor network for air quality monitoring

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SUMMARY

    In this hybrid sensor network, the recalibration will be achieved by correlating the low-cost device with the closest public reference monitoring station, or by cross-calibration with the nearest recalibrated devices in the hybrid sensor network area. Most of existing proposals are based on mobility: either a calibrated device is moving and used in calibration/recalibration of non-moving devices, or non-calibrated devices are moving and are calibrated when in vicinity of a calibrated station. Experimental results showed performance improvements, but it was concluded that to ensure that recalibration would capture reference . . .

     

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