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

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Bibliographic Details
Summary: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. 
Main Authors:Awami, Zainab
Other Authors:Muhammad Bilal
Subject:Smart Cities Fog Computing Internet of Things (IoT) Digital Twin iFogSim Middle East Latency Optimization Smart Cities Fog Computing Internet of Things (IoT) Digital Twin iFogSim Middle East Latency Optimization Ciudades inteligentes Fog Computing Internet de las cosas (IoT) Gemelo digital iFogSim Oriente Medio Optimización de la latencia
Year:2026
Country:Portugal
Document type:article
Access type:unknown
Associated institution:Street Art & Urban Creativity Scientific Journal
Language:English
Origin:Street Art & Urban Creativity Scientific Journal
Description
Summary: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. 

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