Edge Artificial Intelligence for Internet of Things: A Systematic Review of Recent Advances

Authors

  • Priya P P AICTE Author

Keywords:

Edge AI, IoT, Federated Learning, Edge Computing, Cybersecurity, Optimization

Abstract

Edge Artificial Intelligence (Edge AI) has become a crucial component in the Internet of Things (IoT) ecosystem, enabling real-time decision-making, enhanced privacy, reduced latency, and efficient data processing at the network’s edge. This research paper provides a comprehensive review of ten significant publications from 2020 to 2024 focusing on architectures, frameworks, optimization strategies, security mechanisms, and performance improvements in Edge AI for IoT. The review highlights commonalities, trends, research gaps, and future directions. Despite rapid advancements, various challenges such as limited resources, interoperability issues, and cybersecurity threats remain. The paper concludes by identifying promising future research opportunities that can shape the next generation of intelligent IoT systems.

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Published

2026-02-10

How to Cite

Edge Artificial Intelligence for Internet of Things: A Systematic Review of Recent Advances. (2026). IES International Journal of Multidisciplinary Engineering Research, 2(1), 264-270. https://iescepublication.com/index.php/iesijmer/article/view/100

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