Muhammad Bilal

Augmenting Smart City Management through the Integration of Digital Twins with Fog Computing

This paper examines the transition from centralized cloud computing to Fog Computing as a foundational enabler for real-time Digital Twin City (DTC) systems in urban environments. By redistributing computational workloads across the fog nodes, the proposed framework significantly reduces data transmission latency by up to 67% and enhances network efficiency by approximately 65–67% compared to the conventional cloud computing architectures. Central to this study is the integration of Digital Twin technology with a three-layer edge-fog-cloud hierarchy, which enables a continuous virtual synchronization with physical urban environments and supports autonomous real-time decision-making through DTC technologies.