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

Abstract

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.

A Comprehensive Analysis of Cloud Computing Services

“…Few questions were proposed about this computing. The survey was performed by 30 students from different institutions [11][12][13][14][15][16][17][18][19]. Many students (41.4%) found that this computing technology is not an insecure medium while according to 37.9% students this technology maybe a insecure medium.…”

Issues and Challenges of Internet of Things: A Survey

“…Various protocols are coherently developed and implemented on each communication channel layer in order to warrant security and data protection in IoT-based systems. Few of the cryptographic protocols integrated in the middle of the application layer and transport layer to offer security measures in numerous systems involve the Secure Socket Layer and Datagram Transport Layer Security [15][16][17][18][19][20][21].…”