AI IoT-Powered Smart City Energy Management Systems: A Framework for Efficient Resource Management

Authors

  • Ayush Pandey * Departmant of Computer Science Engineering, KIIT Unoversity, Bhubaneshwar, India.

https://doi.org/10.48313/siot.v2i1.297

Abstract

This document presents a scalable IoT framework powered by Artificial Intelligence (AI) aimed at enhancing resource management within smart city infrastructures, focusing specifically on water, energy, waste, and transportation. With the increase in urban populations, the need for efficient resource allocation and waste management escalates, necessitating systems capable of processing and responding to data in real time. The suggested framework features a multilayered IoT system architecture, attributes for scalability, sophisticated data processing algorithms, and security protocols to manage extensive IoT device installations and data streams within urban environments. When evaluated against current systems, the framework shows significant improvements in resource optimization and overall efficiency. Performance indicators, comparative studies, and security assessments highlight the framework's strength and dependability, setting the stage for sustainable development in smart cities.

Keywords:

Smart city, Artificial intelligence, Internet of things, Resource management, Scalability, Urban infrastructure

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Published

2025-01-29

Issue

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

Section

Articles

How to Cite

Pandey, A. . (2025). AI IoT-Powered Smart City Energy Management Systems: A Framework for Efficient Resource Management. Smart Internet of Things, 2(1), 20-27. https://doi.org/10.48313/siot.v2i1.297

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