Abdaoui, AbderrazakTouati, FaridTariq, HasanMnaouer, Adel Ben2021-02-102021-02-10© 20202020-06Abdaoui, A., Touati, F., Tariq, H., & Mnouar, A. B. (2020, June). A Smart Rig for Calibration of Gas Sensor Nodes: Test and Deployment. In 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) (pp. 1-6). IEEE. https://doi.org/10.1109/DTS48731.2020.9196182978-172815428-2https://doi.org/10.1109/DTS48731.2020.9196182http://hdl.handle.net/20.500.12519/335This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) (2020), available online at: https://doi.org/10.1109/DTS48731.2020.9196182Nowadays, large number of sensors are deployed and used for air quality monitoring or in some industries that process hazardous gases. These sensors need periodic calibration to ensure reliable measurements. This paper proposes a dedicated smart calibration rig with a set of novel features enabling complete automation and parallel or batch calibration. The calibration process is completely automated by developing a LabVIEW-based platform that controls the calibration environment for the sensor nodes under test by logging sensor data, generates an updated calibration equation and uploading it to the sensor node for next deployments. The results demonstrate the effectiveness of the sensor calibration rig. © 2020 IEEE.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Cross-sensitivityGas sensors calibrationIEEE 802.15.4Piecewise curve fittingZigBeeAir qualityCalibrationNanosystemsSensor nodesAir quality monitoringCalibration equationsCalibration processHazardous gasLabViEWReliable measurementSensor calibrationSensor dataNanosensorsConference PaperCopyright : 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.