Design and on-field testing of wireless sensor network-based air quality monitoring system
Main Article Content
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.
Downloads
Article Details
Please find the rights and licenses in the Journal of Information Technology and Computer Engineering (JITCE).
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
2. Author(s)’ Warranties
The author(s) warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary permissions to quote from other sources have been obtained by the author(s).
3. User Rights
JITCE adopts the spirit of open access and open science, which disseminates articles published as free as possible under the Creative Commons license. JITCE permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and JITCE on distributing works in the journal.
4. Rights of Authors
Authors retain the following rights:
- Copyright, and other proprietary rights relating to the article, such as patent rights,
- the right to use the substance of the article in future own works, including lectures and books,
- the right to reproduce the article for own purposes,
- the right to self-archive the article.
- the right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (Journal of Information Technology and Computer Engineering).
5. Co-Authorship
If the article was jointly prepared by other authors; upon submitting the article, the author is agreed on this form and warrants that he/she has been authorized by all co-authors on their behalf, and agrees to inform his/her co-authors. JITCE will be freed on any disputes that will occur regarding this issue.
7. Royalties
By submitting the articles, the authors agreed that no fees are payable from JITCE.
8. Miscellaneous
JITCE will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed and JITCE or its sublicensee has become obligated to have the article published. JITCE may adjust the article to a style of punctuation, spelling, capitalization, referencing and usage that it deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers.
References
[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.