AI-Enhanced Cloud Computing for IoT-Based Smart City Solutions

Authors

  • Sagar Kumar * Department of Computer Science and Engineering, KIIT University, Bhubaneswar, India.
  • Yasaman Kazemi Department of Computer Engineering, Ayandegan University, Mazandaran, Iran.

https://doi.org/10.48313/siot.v2i1.121

Abstract

The integration of the Internet of Things (IoT) with cloud computing has transformed urban management. This paper investigates the possibilities of utilizing Artificial Intelligence-enhanced cloud computing to support IoT-driven smart city initiatives. It examines the primary challenges faced by conventional IoT implementations and illustrates how AI can mitigate these problems. The paper presents various AI methodologies, such as machine learning, deep learning, and natural language processing, and their relevance to smart city areas like traffic control, energy optimization, waste disposal, and public security. Furthermore, it discusses the architectural factors and security concerns associated with AI-enhanced cloud computing in the context of IoT. The paper concludes by highlighting the game-changing potential of this technology for creating sustainable and resilient smart cities.

Keywords:

Machine learning, Deep learning, Internet of Things, Enhanced cloud computing

References

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Published

2026-06-05

Issue

Vol. 3 No. 2 (2026): Smart Internet of Things

Section

Articles

How to Cite

Kumar, S. ., & Kazemi, Y. . (2026). AI-Enhanced Cloud Computing for IoT-Based Smart City Solutions. Smart Internet of Things, 3(2), 61-69. https://doi.org/10.48313/siot.v2i1.121