An Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar

dc.contributor.author Tariq, Hasan
dc.contributor.author Abdaoui, Abderrazak
dc.contributor.author Touati, Farid
dc.contributor.author Al-Hitmi, Mohammed Abdulla E
dc.contributor.author Crescini, Damiano
dc.contributor.author Mnaouer, Adel Ben
dc.date.accessioned 2020-09-21T16:33:31Z
dc.date.available 2020-09-21T16:33:31Z
dc.date.copyright © 2020
dc.date.issued 2020-06
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2020 International Wireless Communications and Mobile Computing (IWCMC) (2020), available online at: https://doi.org/10.1109/IWCMC48107.2020.9148392 en_US
dc.description.abstract In all outdoor long haul air quality monitoring and mapping applications, sensing accuracy, the sustainability of telemetry, and resilience in node systems and operation are major challenges. The severity of these challenges varies depending on the moderateness and harshness of the climate of observation. In this work, an autonomous environmentally powered, sensors self-diagnostic/calibration, and context-aware IoT-based telemetry for multi-variable sensing node is being proposed. In this node, photo-voltaic and piezoelectric energy harvesters contributed to self-calibration and sustainable measurement of temperature (in °C), humidity (in %), pressure (in bar), geo-position (in NMEA format), volatile organic compounds-VOC (in ppm), particulate matter PM (in ppm), ozone (in Dobson Unit), Carbon mono-oxide (in ppm), Nitrogen dioxide (in ppm), and Sulphur dioxide (in ppm). Results have shown that the proposed system worked autonomously for days and optimized the real-time air quality mapping for the chosen geo-spatial cluster, i.e. Qatar University. © 2020 IEEE. en_US
dc.identifier.citation Tariq, H., Abdaoui, A., Touati, F., Al-Hitmi, M. A. E., Crescini, D., & Mnaouer, A. B. (2020, June). An Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar. In 2020 International Wireless Communications and Mobile Computing (IWCMC) (pp. 2164-2169). IEEE. https://doi.org/10.1109/IWCMC48107.2020.9148392 en_US
dc.identifier.isbn 978-172813129-0
dc.identifier.uri https://doi.org/10.1109/IWCMC48107.2020.9148392
dc.identifier.uri http://hdl.handle.net/20.500.12519/239
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations : Tariq, H., Qatar University, Department of Electrical Engineering College of Engineering, Doha, Qatar; Abdaoui, A., Qatar University, Department of Electrical Engineering College of Engineering, Doha, Qatar; Touati, F., Qatar University, Department of Electrical Engineering College of Engineering, Doha, Qatar; E Al-Hitmi, M.A., Qatar University, Department of Electrical Engineering College of Engineering, Doha, Qatar; Crescini, D., Brescia University, Brescia, Italy; Mnaouer, A.B., Canadian University Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries 2020 International Wireless Communications and Mobile Computing (IWCMC);
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holder Copyright : Copyright : Copyright : © 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.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Air quality en_US
dc.subject environmental mapping en_US
dc.subject gas sensors en_US
dc.subject heterogeneous en_US
dc.subject IoT en_US
dc.subject multi-variable en_US
dc.title An Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar en_US
dc.type Conference Paper en_US
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