Real-Time Air Pollution Monitoring System Employing IoT

Modern livelihood is endangered by many challenges. Such a challenge is air pollution. To exterminate the lives of the residents from the ill effects of air pollution one has to gather the knowledge of air health of a place he/she is planning to go in. A timely response from a real-time air pollution monitoring system may be convenient in this regard. In this paper, an loT -enabled air pollution monitoring system is proposed, which is competent in collecting real-time data itself, and after data collection, it is proficient in analyzing and delivering the assessment of the enquired place's air quality with some suggestive measures to the users who place a query regarding that. Several air pollution-related sensors are deployed in this regard to capture the real-time pollutant concentrations and meteorological parameters, and the air health assessment work is accomplished using an efficient data fusion technique, which delivers the air health status of a place with the help of the current data only without using historical data. Finally, the air health status is communicated to the users via some web applications. The system is sound and smart enough to analyze the air health of a place with utmost accuracy and promptness.