Abstract—Air pollution is a critical problem that is currently
plaguing Asia in the perilous fight against environmental
pollution. It refers to the harmful substances and pollutants in
the air that play an essential role in the depletion of the ozone
layer while being a grave hazard to the ecological system. A
principal cause of air pollution is the increase in vehicular
traffic, especially in Asia, that has been noted in recent years.
The combustion reaction that occurs when cars burn gasoline
leads to the emission of Carbon Monoxide (one of the principal
constituents of air pollution). According to many recent studies,
Carbon Monoxide is fatal enough to cause health issues which
may lead to death in some extreme cases. Thus, it comes as no
surprise that regulating car pollution is a paramount step in
finding a solution to this global issue.
Therefore, we are developing a system using a carbon monoxide sensor (MQ-7) and Arduino Uno microcontroller, which detects the gas emission from the car exhaust. Internet will play an important role in the communication of physical things. Physical objects can be empowered through the embedded electronics into it, to make them smart and at the same time IoT gives the connection among these objects to give high quality of life to the people. Hardware, software components works cooperatively to build the IoT. This technology is used in the development of air pollution detection system.
Index Terms—Air pollution, cloud computing, carbon monoxide.
Thamilvaani Alvar is with the School of Science and Engineering, the University of Nottingham Malaysia, Malaysia (corresponding author; e-mail: Thamil.Vaani@nottingham.edu.my).
Thinagaran Perumal is with the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia.
Cite: Thamilvaani Arvaree and Thinakaran Perumal, "IoT Based Car Pollution Detection Using Cloud Computing," International Journal of Environmental Science and Development vol. 12, no. 8, pp. 226-231, 2021.Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).