Fog Computing in IoT-Driven Smart City Traffic Control Systems

Authors

https://doi.org/10.48313/siot.v2i1.243

Abstract

This research investigates the utilization of AI-IoT optimization methods in waste management for smart cities. As urban populations increase, effective waste management becomes essential for ensuring cleanliness, public health, and environmental sustainability. The combination of Artificial Intelligence (AI) with the Internet of Things (IoT) offers innovative strategies for improving waste collection, sorting, and disposal. This paper reviews existing AI-IoT implementations, highlights challenges, and suggests solutions to enhance efficiency, lower costs, and promote sustainable urban development. This study aims to advance the understanding of sustainable waste management practices in smart cities.

Keywords:

Fog computing, Internet of Things, Smart city, Traffic control, Real-time processing

References

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Published

2025-02-08

Issue

Vol. 2 No. 1 (2025): Smart Internet of Things

Section

Articles

How to Cite

Sambhav, K. (2025). Fog Computing in IoT-Driven Smart City Traffic Control Systems. Smart Internet of Things, 2(1), 35-43. https://doi.org/10.48313/siot.v2i1.243

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