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The Internet of Things (IoT) and cloud computing technologies have revolutionized urban management and governance. Smart cities employ these technologies to address challenges such as congestion, resource allocation, public safety, and environmental sustainability. Despite the potential, IoT frameworks for smart cities encounter significant limitations, such as scalability issues, high latency, energy inefficiency, and security vulnerabilities. This paper proposes an enhanced cloud computing framework for IoT deployments in smart cities. This framework integrates edge computing to overcome latency, scalability, and energy inefficiencies while improving data security. The proposed model is evaluated through simulations and real-world case studies in urban environments to demonstrate its efficiency and applicability.
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