Abstract

The rapid growth of urban populations has led to increasing challenges in managing city infrastructure efficiently. Smart city initiatives aim to address these challenges by leveraging emerging technologies such as the Internet of Things (IoT) and cloud computing. This paper proposes an integrated framework that combines IoT devices with cloud-based platforms to enable scalable and efficient smart city infrastructure management. The proposed system utilizes IoT sensors to collect real-time data from various urban domains, including traffic management, waste management, energy consumption, and environmental monitoring. This data is transmitted to a cloud computing platform, where it is processed, analysed, and stored for intelligent decision-making. The cloud infrastructure provides scalability, flexibility, and high computational power, enabling the system to handle large volumes of heterogeneous data. Furthermore, the framework incorporates data analytics techniques to optimize resource utilization and improve service delivery. A layered architecture is designed to ensure efficient communication between IoT devices and cloud services while maintaining data security and reliability. The results demonstrate that the integration of IoT and cloud computing significantly enhances the efficiency, scalability, and responsiveness of smart city systems. The proposed model provides a cost-effective and sustainable solution for modern urban infrastructure management. This research contributes to the development of intelligent and scalable smart city ecosystems by bridging the gap between IoT data acquisition and cloud-based analytics.

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