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A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

Aarti Rani, Vijay Prakash, Manuj Darbari
Research Paper | Journal Paper
Volume 2 , Issue 2: Special Issue on Artificial Intelligence (ICAI-2021) , PP 1-14
DOI: https://doi.org/10.54060/JIEEE/002.02.023


Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

Key-Words / Index Term

Air Quality Monitoring, Significant Air Pollutants, Air Quality Index, Internet- of- Things (IoT), Cloud Computing, Air Quality Management


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