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

Authors

  • Zainab Awami KFUPM
  • Muhammad Bilal

DOI:

https://doi.org/10.62161/sauc.v12.6364

Keywords:

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

Abstract

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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References

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Published

2026-09-05

How to Cite

Awami, Z., & Muhammad Bilal. (2026). Augmenting Smart City Management through the Integration of Digital Twins with Fog Computing. Street Art & Urban Creativity, 12(5), 391–400. https://doi.org/10.62161/sauc.v12.6364

Issue

Vol. 12 No. 5 (2026)

Section

Research articles

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