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Calibration of chemical sensors in mobile wireless networks

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Document pages: 2 pages

Abstract: Low-power chemical sensors deployed on mobile platforms make it possible tomonitor pollutant concentrations across large urban areas. However, chemicalsensors are prone to drift (e.g., aging, damage, poisoning) and have to becalibrated periodically. In this paper, we present an opportunistic calibrationapproach that relies on encounters between sensors; when in vicinity of eachother, sensors exchange measurements and use the accumulated information tore-calibrate. We formulate the calibration process as weighted least-squares,where the most recent measurements are assigned the highest weights. We modelthe weights with an exponential decay function (in time) and optimize the decayconstant using simulated annealing (SA). We validated the proposed method on asimulated sensor network with the sensors mobility driven by random-waypoint(RWP) models. We present results in terms of average calibration errors fordifferent weight functions, and network sizes.

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