Scalable IoT Solutions for Urban Air Quality Monitoring: ML Approaches for Low-Power WAN Data Analysis

Authors

  • Dr. Ayesha banu, Ennapureddy Madhusri, Sankuri Bhavyathrika, Mogudumpuram Kalyan Author

DOI:

https://doi.org/10.48047/y2fs6403

Keywords:

Key words: Air Quality Monitoring, Urban Pollution, Low-Power Wide-Area Networks (LPWAN), Data Analytics, Air Pollution Prediction

Abstract

The increasing urbanization and industrialization worldwide have necessitated the deployment of scalable and efficient air quality monitoring systems to ensure public health and environmental safety. This project proposes a robust IoT-based solution for urban air quality monitoring

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Published

07.04.2025

Issue

Vol. 15 No. 4 (2025): volume 15 issue 4(2025)

Section

Articles

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How to Cite

Scalable IoT Solutions for Urban Air Quality Monitoring: ML Approaches for Low-Power WAN Data Analysis . (2025). International Journal of Information and Electronics Engineering, 15(4), 229-240. https://doi.org/10.48047/y2fs6403