Author: Anil Tiwari, Lisha Bedi
Abstract: Smart cities leverage IoT technologies to improve infrastructure, environmental sustainability, and public services. The integration of Artificial Intelligence (AI) with IoT has transformed the way data is collected, analyzed, and utilized in urban environments. This paper explores the convergence of AI and IoT in smart city applications such as traffic management, waste management, energy efficiency, and public safety. AI algorithms process real-time IoT data to optimize decision-making, predict anomalies, and enhance operational efficiency. Furthermore, the paper discusses the challenges associated with data privacy, interoperability, and scalability in smart city frameworks. The future scope highlights the potential of edge computing, federated learning, and 5G integration in advancing AI-IoT-enabled smart cities.
Keywords : Smart Cities, AI in IoT, Data Analytics, Edge Computing, Federated Learning
Full Issue
| View or download the full issue | PDF 35-49 |