Design and on-field testing of wireless sensor network-based air quality monitoring system

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Qasem Abu Al-Haija

Abstract

The wireless sensor networks (WSN) are increasingly implemented in air quality monitoring with real-time and high spatial-temporal resolution. In this context, current work aimed at designing and testing a cost- and energy-efficient WSN-based air quality monitoring system. The system was assembled principally by wireless sensors, solar cells, microcontroller and network communication. In addition, a new circuit for buck-boost converter was implemented for voltage and current regulations. On-field, testing the proposed air quality monitoring system outdoor and indoor showed efficient real-time readings for the concentrations of carbon dioxide (CO2) and total volatile organic compounds (TVOC). Furthermore, it provided data about ambient temperature, relative humidity and air pressure with good accuracy. In conclusion, our results suggest a reliable and scalable WSN-based system for monitoring ambient air quality.

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How to Cite
Al-Haija, Q. (2019, September 30). Design and on-field testing of wireless sensor network-based air quality monitoring system. JITCE (Journal of Information Technology and Computer Engineering), 3(02), 54-59. https://doi.org/https://doi.org/10.25077/jitce.3.02.54-59.2019
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References

[1] McMICHAEL A.J., ” Global climate change and health: an old story writ large”, World Health Organization,Geneva, 2003.
[2] BARI M.A., KINDZIERSKI W.B., ” Ambient volatile organic compounds (VOCs) in communities of the Athabasca oil sands region: Sources and screening health risk assessment.”, Environmental Pollution, no. 235, 602-614, 2018
[3] BAKHTIARI R., et. al., ” Investigation of in-cabin volatile organic compounds (VOCs) in taxis; influence of vehicle’s age, model, fuel, and refuelling”, Environmental Pollution, no. 237, 348-355,2018.
[4] ECKELMAN M.J., SHERMAN J. , ”Environmental impacts of the U.S. health care system and effects on public health”, PLOS ONE, no. 11, 2016.
[5] BENAMMAR M.,et. al., ” A Modular IoT Platform for Real-Time Indoor Air Quality Monitoring”, Sensors (Basel, Switzerland),no. 18, 2018.
[6] SALAMONE F., et.al., ” Design and Development of a Nearable Wireless System to Control Indoor Air Quality and Indoor Lighting Quality”, Sensors (Basel, Switzerland), no. 17, 2017.
[7] YI W.Y., LEUNG K.S., LEUNG Y., ”A Modular Plug-And-Play Sensor System for Urban Air Pollution Monitoring: Design, Implementation and Evaluation”, Sensors (Basel, Switzerland), no. 17, 2018.
[8] WEN T.H., et. al., ” Monitoring street-level spatial-temporal variations of carbon monoxide in urban settings using a wireless sensor network (WSN) framework”, International Journal of Environmental Research and Public Health, no. 10, 6380-6396, 2013.
[9] A modular plug-and-play sensor system for urban Air pollution monitoring: design, implementation and evaluation”, Sensors (Basel), no. 1, 2017.
[10] CHAIWATPONGSAKOM C., et. al., ” The deployment of carbon monoxide wireless sensor network (CO-WSN) for ambient air monitoring”, International Journal of Environmental Research and Public Health, no.11, 6246-6264,2014.
[11] MYI W.Y., et. al, ”A survey of wireless sensor network based air pollution monitoring systems”, Sensors (Basel), no. 15, 3139231427, 2015.
[12] CHOI S., et. al.,” A three-step resolution-reconfigurable hazardous multi-gas sensor interface for wireless air-quality monitoring applications”, Sensors (Basel), no. 18, 2018.
[13] United States Environmental Protection Agency, ”Next Generation Air Measuring Research”, https://www.epa.gov/sciencematters, 2015.
[14] LASKAR M.R., CHATTERJEE S., DAS A.J., ” Design of an integrated system for modeling of functional air quality index integrated with health-GIS using bayesian neural network”, Journal of Indian society of remote sensing, no. 46, 873-883, 2018.
[15] MARQUES G., PIARMA R. , ”An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture”, International Journal of Environmental Research and Public Health, no. 13, 2016.
[16] PITARMA R., MARQUES G., FERREIRA B.R, ” Monitoring Indoor Air Quality for Enhanced Occupational Health”, Journal of Medical Systems, no. 41, 2017.
[17] ABU AL-HAIJA Q., AL-QADEEB H., AL-LWAIMI A. ” Case
Study: Monitoring of AIR quality in King Faisal University using a microcontroller and WSN”, Procedia Computer Science, Elsevier, no. 21, 517-521, 2013.