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AuthorTariq H.
AuthorAbdaoui A.
AuthorTouati F.
AuthorE Al-Hitmi M.A.
AuthorCrescini D.
AuthorMnaouer A.B.
Available date2022-05-22T11:03:04Z
Publication Date2020
Publication Name2020 International Wireless Communications and Mobile Computing, IWCMC 2020
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/IWCMC48107.2020.9148392
URIhttp://hdl.handle.net/10576/31417
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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAir quality
Mapping
Mobile computing
Nitrogen oxides
Sulfur dioxide
Telemetering equipment
Volatile organic compounds
Air quality monitoring
Mapping applications
Measurement of temperature
Nitrogen dioxides
Outdoor air qualities
Particulate Matter
Piezoelectric energy harvesters
Self calibration
Internet of things
TitleAn Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar
TypeConference Paper
Pagination2164-2169
dc.accessType Abstract Only


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