Air Quality Monitoring Tool using Edge Computing: A Comprehensive Study

Authors

Keywords:

air quality, edge computing, sensor, tool

Abstract

As the transportation sector continues to expand rapidly, more focus has been placed on ensuring that air quality is being monitored, however existing monitoring tools are limited in their ability to provide precise data in real time at an economical cost. In this paper, we intent to provide a framework for creating an indoor air quality monitoring tool that makes use of both the Internet of Things (IoT) and edge computing. The proposed approach enables sensors to collect data on the air quality in real time and transfer it to an edge device, which then does the required processing and analysis. In the end, the IoT and edge computing combine to deliver a more rapid and efficient way of collecting data and processing. In most cases, edge computing handles real-time data processing, which helps to minimise the amount of delay and congestion in the network. Therefore, this enables a better user experience and more productivity.

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IoT Achitecture

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Published

16.12.2022

How to Cite

Sumendra Yogarayan, Afizan Azman, Siti Fatimah Abdul Razak3, & Mohd. Fikri Azli Abdullah. (2022). Air Quality Monitoring Tool using Edge Computing: A Comprehensive Study. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 715–719. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2346

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Research Article