AlexNet-Driven Deep Learning–IoT Framework for Intelligent and Scalable Smart City Systems

Urbanization is creating major challenges in traffic, pollution, energy management, healthcare, and public services. To address these issues, this research proposes an intelligent smart city framework that integrates IoT and the AlexNet deep learning algorithm. IoT sensors collect multimodal urban data, which undergoes preprocessing, feature extraction, and deep learning analysis. The framework combines edge computing, cloud computing, and federated learning to ensure scalability, real-time response, and privacy protection. Experimental results show significant improvements in traffic prediction, energy forecasting, environmental monitoring, and healthcare anomaly detection. The proposed system provides an efficient, scalable, and privacy-preserving solution for future smart city management.