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

dc.contributor.authorTariq, Hasan
dc.contributor.authorAbdaoui, Abderrazak
dc.contributor.authorTouati, Farid
dc.contributor.authorAl-Hitmi, Mohammed Abdulla E
dc.contributor.authorCrescini, Damiano
dc.contributor.authorMnaouer, Adel Ben
dc.date.accessioned2020-09-21T16:33:31Z
dc.date.available2020-09-21T16:33:31Z
dc.date.copyright© 2020
dc.date.issued2020-06
dc.descriptionThis 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/IWCMC48107.2020.9148392en_US
dc.description.abstractIn 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.citationTariq, 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/IWCMC48107.2020.9148392en_US
dc.identifier.isbn978-172813129-0
dc.identifier.urihttps://doi.org/10.1109/IWCMC48107.2020.9148392
dc.identifier.urihttp://hdl.handle.net/20.500.12519/239
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors 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.ispartofseries2020 International Wireless Communications and Mobile Computing (IWCMC);
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 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.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectAir qualityen_US
dc.subjectenvironmental mappingen_US
dc.subjectgas sensorsen_US
dc.subjectheterogeneousen_US
dc.subjectIoTen_US
dc.subjectmulti-variableen_US
dc.titleAn Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qataren_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Access Instruction 239.pdf
Size:
56.39 KB
Format:
Adobe Portable Document Format
Description: