IoT Revolutionizes Humidity Measurement and Management in Smart Cities to Enhance Health and Wellness

Main Article Content

Pushan Kumar Dutta
Bhupinder Singh
Al-Sayed K. Towfeek
Jovanna Pantelis Adamopoulou
Antonis Nikos Bardavouras
Wilson Bamwerinde
Benson Turyasingura
Natal Ayiga

Abstract

This paper sets itself in a context of examining how IoT technology is disrupting and revolutionizing the monitoring and control of relative humidity in different spheres of smart cities with special reference to the enhancement of well-being in the information society. The authors discuss the current emergent research topics in IoT-based humidity sensors, wireless communication systems, and big data analytics for monitoring and controlling the humidity in real time. The paper also presents an outlook into various fields such as agriculture, healthcare, intelligent houses, industries, as well as the environment, and presents an indication of how managing humidity accurately enhances crop productivity, disease prevention, internal air quality, and the general wellbeing of the public. This also covers on the use of artificial intelligence and machine learning for IoT on analysis in terms of prediction and control. Admittedly, there are limitations associated with IoT including data security, compatibility, and power supply issues of the devices, etc. The future development of IoT as described in the paper includes improved sensors, edge computing, and the use of block-chain technology. Therefore, the authors find that IoT techniques for humidity measurement and management are effectively used in the development of healthier, comfortable, and sustainable environments in smart cities to enhance the quality of life.

Downloads

Download data is not yet available.

Article Details

How to Cite
Dutta, P. K., Singh, B., Towfeek, A.-S. K., Adamopoulou, J. P., Bardavouras, A. N., Bamwerinde, W., Turyasingura, B., & Ayiga, N. (2024). IoT Revolutionizes Humidity Measurement and Management in Smart Cities to Enhance Health and Wellness. Mesopotamian Journal of Artificial Intelligence in Healthcare, 2024, 110–117. https://doi.org/10.58496/MJAIH/2024/013
Section
Articles