Tariq, HasanAbdaoui, AbderrazakTouati, FaridAl-Hitmi, Mohammed Abdulla ECrescini, DamianoManouer, Adel Ben2021-02-212021-02-21© 20202020-06Tariq, H., Abdaoui, A., Touati, F., Al-Hitmi, M. A. E., Crescini, D. & Manouer, A.B. A Real-time Gradient Aware Multi-Variable Handheld Urban Scale Air Quality Mapping IoT System. 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS), Hammamet, Tunisia, 2020, pp. 1-5, https://doi.org/10.1109/DTS48731.2020.9196131978-172815428-2https://doi.org/10.1109/DTS48731.2020.9196131http://hdl.handle.net/20.500.12519/340This 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/DTS48731.2020.9196131In outdoor urban scale air quality mapping, electrochemical sensors warm-up time, cross-sensitivity, geo-location typography, and energy efficiency are major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and prolonged lags in air quality mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter, ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality mapping for the chosen geo-spatial cluster, i.e. Qatar University. © 2020 IEEE.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Air qualityEnvironmental mappingGas sensorsHeterogeneousIoTMulti-variableAir qualityEnergy efficiencyInternet of thingsMappingNanosensorsNanosystemsNitrogen oxidesPhotovoltaic cellsSulfur dioxideVolatile organic compoundsCross sensitivityEvent-triggeredNitrogen dioxidesParticulate MatterPhotovoltaic powerPrinciple variablesQatar universityQuality sensingMultivariable systemsConference 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.