A Survey on Air Pollution Monitoring Using Internet of Things

Authors

  • R. Dhanusha  PG Scholar, Department of Computer Science and Engineering, Government College of Technology/Anna University, Coimbatore, Tamilnadu, India
  • Dr. S. Rathi  M.E, Ph.D, Associate Professor, Department of Computer Science and Engineering, Government College of Technology/Anna University, Coimbatore, Tamilnadu, India

Keywords:

Internet of Things, state-of-the-art, MQ Sensors

Abstract

Internet of Things (IoT) consists of smart devices that can sense the environment and perform data interaction with the users. Air Pollution is increasing day-by-day, which is a harmful cause for the humans and the living environment. In order to monitor the air pollution, a real-time system which provides a high spatio-temporal resolution is required due to the limited data availability and non-scalability of conventional air pollution monitoring systems. The air pollution monitoring systems are rapidly changing due to the immense advances in the development of portable, lower-cost air pollution sensors which collect data in near-real time at a high-time resolution, increased computational and visualization capabilities. It is possible that these advances can support traditional air quality monitoring by supplementing ambient air monitoring and enhancing compliance monitoring using various sensors. In this paper, we review the state-of-the-art low-cost air pollution sensors, identify their major impacts in various sessions and comprehensively surveying the validation of the sensing strategies suited for different deployments. And, different sensing applications in different domains such as IoT, Cloud and Edge Computing are also surveyed.

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
R. Dhanusha, Dr. S. Rathi "A Survey on Air Pollution Monitoring Using Internet of Things" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.350-355, May-June-2020.