An Autonomous Multi-Variable Outdoor Air Quality Mapping Wireless Sensors IoT Node for Qatar
Institute of Electrical and Electronics Engineers Inc.
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.
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
Air quality, environmental mapping, gas sensors, heterogeneous, IoT, multi-variable
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