Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
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Abstract (arXiv)
Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Sep 2019.
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Citing papers per year: 2022: 4; 2023: 2; 2024: 3; 2025: 4.
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- 2022PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networkscited by 14
- 2024Benchmarking Edge AI Platforms for High-Performance ML Inferencecited by 9
- 2025LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systemscited by 8
- 2023Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocationcited by 5
- 2022Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networkscited by 4
- 2022FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systemscited by 1
- 2022ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networkscited by 1
- 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
- 2025Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Trainingcited by 1
- 2024Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computingcited by 0
- 2024Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsivenesscited by 0
- 2025Diffusion Learning with Partial Agent Participation and Local Updatescited by 0
- 2025LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems24 Nov 2025
- 2025UrbanInsight: A Distributed Edge Computing Framework with LLM-Powered Data Filtering for Smart City Digital Twins31 Aug 2025
- 2025Diffusion Learning with Partial Agent Participation and Local Updates16 May 2025
- 2025Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training13 Apr 2025
- 2024Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness19 Nov 2024
- 2024Benchmarking Edge AI Platforms for High-Performance ML Inference23 Sep 2024
- 2024Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing13 Mar 2024
- 2023Edge AI for Internet of Energy: Challenges and Perspectives28 Nov 2023
- 2023Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation13 Feb 2023
- 2022ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks27 Oct 2022
- 2022Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks12 Oct 2022
- 2022FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems26 Sep 2022
1 more
- 2022PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networkscited by 14
- 2024Benchmarking Edge AI Platforms for High-Performance ML Inferencecited by 9
- 2023Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocationcited by 5
- 2022Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networkscited by 4
- 2022FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systemscited by 1
- 2022ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networkscited by 1
- 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
- 2025Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Trainingcited by 1
- 2024Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computingcited by 0
- 2024Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsivenesscited by 0
- 2025Diffusion Learning with Partial Agent Participation and Local Updatescited by 0
- 2025UrbanInsight: A Distributed Edge Computing Framework with LLM-Powered Data Filtering for Smart City Digital Twinscited by 0
- 2025UrbanInsight: A Distributed Edge Computing Framework with LLM-Powered Data Filtering for Smart City Digital Twins31 Aug 2025
- 2025Diffusion Learning with Partial Agent Participation and Local Updates16 May 2025
- 2025Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training13 Apr 2025
- 2024Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness19 Nov 2024
- 2024Benchmarking Edge AI Platforms for High-Performance ML Inference23 Sep 2024
- 2024Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing13 Mar 2024
- 2023Edge AI for Internet of Energy: Challenges and Perspectives28 Nov 2023
- 2023Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation13 Feb 2023
- 2022ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks27 Oct 2022
- 2022Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks12 Oct 2022
- 2022FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems26 Sep 2022
- 2022PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks18 Feb 2022