An Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar
Author | Tariq H. |
Author | Abdaoui A. |
Author | Touati F. |
Author | E Al-Hitmi M.A. |
Author | Crescini D. |
Author | Mnaouer A.B. |
Available date | 2022-05-22T11:03:04Z |
Publication Date | 2020 |
Publication Name | 2020 International Wireless Communications and Mobile Computing, IWCMC 2020 |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/IWCMC48107.2020.9148392 |
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. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Air 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 |
Type | Conference Paper |
Pagination | 2164-2169 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Electrical Engineering [2616 items ]