This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
As urbanization accelerates, smart city frameworks incorporating Internet of Things (IoT) networks have become essential for efficient city management. AI-powered resource allocation plays a critical role by enabling adaptive, data-driven optimization of these networks, ensuring effective utilization of computational resources, bandwidth, and energy. This report provides an overview of AI methodologies applied to resource allocation, examines technical and operational challenges, and explores future advancements.
null