Systematic CO₂ monitoring using machine learning enabled WSN to develop the anti-hazard strategies for the future
by N. Jeyakkannan; P. Manimegalai; G.K.D. Prasanna Venkatesan
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 34, No. 1, 2020

Abstract: The life cycle of an organism does not complete without carbon dioxide (CO₂). CO₂ is an essential peculiar flavour ingredient gas that drives the world. On the other hand, the impact of excessive CO₂ affects the atmosphere with rapid climate changes, greenhouse effect, rain with corrosive implications, and many more hazards. The excessive CO₂ influences the natural resource and depletes it to the hazard nature. So the atmosphere needs attention towards monitoring under various conditions. In this paper, the technology of wireless sensor network (WSN) is used for monitoring the CO₂ and other gases through which data is stored and fed to the machine learning methodology for future strategies. This paper gives an analysis of the feasibility and effectiveness of the various methods. During the investigation, the generalised regression neural network (GRNN) is identified to be a suitable algorithm for the learning and anti-hazard strategies for monitoring the CO₂. The results produced by the GRNN method are promising, which particulates up to 96% of accuracy compared to other algorithms.

Online publication date: Thu, 15-Oct-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com