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Edge-Computing-Enabled Smart Cities: A Comprehensive Survey [article]

Latif U. Khan, Ibrar Yaqoob, Nguyen H. Tran, S. M. Ahsan Kazmi, Tri Nguyen Dang, Choong Seon Hong
2020 arXiv   pre-print
Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities.  ...  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.  ...  Based on context-awareness, machine learning for smart cities can be either global context-aware or local-context aware.  ... 
arXiv:1909.08747v2 fatcat:nwnyec5gnfdmtd3msohsbkgulm

khan2020.pdf

Khan Zulfiqar
2021 figshare.com  
Edge Computing Survey  ...  Based on context-awareness, machine learning for smart cities can be either global context-aware or local-context aware.  ...  schemes based on machine learning [32] .  ... 
doi:10.6084/m9.figshare.14099087.v1 fatcat:nipztbbrgrcwvp2dy6m2gbyytm

Towards Smart City Innovation Under the Perspective of Software-Defined Networking, Artificial Intelligence and Big Data [article]

Joberto S. B. Martins
2018 Zenodo   pre-print
learning for smart cities.  ...  In this scenario, this paper proposes and analyses the impact and perspectives on adopting software-defined networking and artificial intelligence as innovative approaches for smart city project development  ...  HOW CAN ARTIFICIAL INTELLIGENCE CONTRIBUTE FOR SMART CITY INNOVATION? Artificial intelligence using machine learning techniques applied to smart city has drawn a lot of attention from research.  ... 
doi:10.5281/zenodo.1467770 arXiv:1810.11665v1 fatcat:rqrfs4nourecxk4lkytrx2exd4

Towards Smart City Innovation Under The Perspective Of Software-Defined Networking, Artificial Intelligence And Big Data

Joberto S. B. Martins
2018 Zenodo  
learning for smart cities.  ...  In this scenario, this paper proposes and analyses the impact and perspectives on adopting software-defined networking and artificial intelligence as innovative approaches for smart city project development  ...  HOW CAN ARTIFICIAL INTELLIGENCE CONTRIBUTE FOR SMART CITY INNOVATION? Artificial intelligence using machine learning techniques applied to smart city has drawn a lot of attention from research.  ... 
doi:10.5281/zenodo.1467771 fatcat:dvxihwi2ure6peso4iacoqegau

Edge Computing Applied to Industrial Machines

Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody
2019 Procedia Manufacturing  
intelligence on edge solutions, forming a new source of "smart capabilities" to existing environments.  ...  intelligence on edge solutions, forming a new source of "smart capabilities" to existing environments.  ...  It happens once existing machinery gain access to machine learning and artificial intelligence thru new added edge devices.  ... 
doi:10.1016/j.promfg.2020.01.024 fatcat:wf3afobrrvdpppnjvpyhn5vfu4

Call for Papers

2020 IEEE wireless communications  
Topics of interests include, but are not limited to: • AI based Smart City architecture and modeling • AI and cognitive computing technology for mMTC and URLLC Prospective authors should prepare their  ...  AI and cognitive computing are two cornerstone technologies that enable 5G-based smart cities to enhance the quality and performance of urban services.  ...  learning approaches for spectrum management in 5G-oriented Smart City • Cognitive computing models and prediction analytics for 5G-oriented Smart City • Cognitive computing algorithms for Intelligence  ... 
doi:10.1109/mwc.2020.9316637 fatcat:vkqrztnqrnaa3joq3gycgnq3z4

Improving Transactional Data System Based on an Edge Computing–Blockchain–Machine Learning Integrated Framework

Zeinab Shahbazi, Yung-Cheol Byun
2021 Processes  
This process's proposed smart manufacturing system considers the integration of blockchain, edge computing, and machine learning approaches.  ...  Regarding smart manufacturing systems' computational environments, the model solves the problems using a swarm intelligence-based approach.  ...  Figure 4 presents the overall architecture of smart manufacturing based on the integration of edge computing, blockchain, and machine learning.  ... 
doi:10.3390/pr9010092 fatcat:vwfapathvfdmpajp5vl6hq255a

Intelligent Communication Resource Allocation for Smart City with Machine Learning and SDN OpenFlow

Joberto S. B. Martins
2019 Zenodo  
This ILLUSTRATED TECHNICAL PAPER presents the slides describing the contents of the short-course "Intelligent Communication Resource Allocation for Smart City with Machine Learning and SDN OpenFlow".  ...  The talk was presented at VII International Workshop on ADVANCEs in ICT Infrastructures and Services - ADVANCE 2019, 21 of January 2019 at Universidade de Cabo Verde (UNICV), Praia, Cape Vert.  ...  This is followed by a case of use that demonstrates the potential benefits of cognitive learning for smart cities using Case-based Reasoning (CBR) for intelligent communications resource (bandwidth) allocation  ... 
doi:10.5281/zenodo.2631908 fatcat:kzkuwnie5rcb3koksk5clbmzpi

Deep Learning for Edge Computing Applications: A State-of-the-art Survey

Fangxin Wang, Miao Zhang, Xiangxiang Wang, Xiaoqiang Ma, Jiangchuan Liu
2020 IEEE Access  
to facilitate edge applications from four domains, i.e., smart multimedia, smart transportation, smart city, and smart industry.  ...  In this article, we provide a comprehensive survey of the latest efforts on the deep-learning-enabled edge computing applications and particularly offer insights on how to leverage the deep learning advances  ...  SMART CITY Smart city [113] is another important application scenario for deep-learning-enabled edge computing.  ... 
doi:10.1109/access.2020.2982411 fatcat:43atfhktujbuxns2bsl2cfpnay

Call for Papers

2020 IEEE Internet of Things Magazine  
learning approaches for spectrum management in 5G-oriented Smart City • Cognitive computing models and prediction analytics for 5G-oriented Smart City • Cognitive computing algorithms for Intelligence  ...  Topics of interests include, but are not limited to: • AI based Smart City architecture and modeling • AI and cognitive computing technology for mMTC and URLLC scenarios in Smart City • AI and machine  ... 
doi:10.1109/miot.2020.9319681 fatcat:oqf3j4ne7nbx3o7lgyly2ml4te

Computational Intelligence for Internet of Things in the Big Data Era (Part I) [Guest Editorial]

Celimuge Wu, Guoliang Xue, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir
2019 IEEE Computational Intelligence Magazine  
E merging Internet of Things (IoT) applications in various domains such as smart city, smart home, smart grid, e-health, smart transportation, and computer vision critically require trustworthy networking  ...  intelligent approach based on AI routers is combined with a centralized platform.  ...  applications in various domains such as smart city, smart home, smart grid, e-health, smart transportation, and computer vision critically require trustworthy networking solutions that are resilient against  ... 
doi:10.1109/mci.2019.2937607 fatcat:sfrdmjegnrbe3goabh3xgvqavi

State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability [chapter]

Saeed Nosratabadi, Amir Mosavi, Ramin Keivani, Sina Ardabili, Farshid Aram
2020 Lecture Notes in Networks and Systems  
Deep learning (DL) and machine learning (ML) methods have recently contributed to the advancement of models in the various aspects of prediction, planning, and uncertainty analysis of smart cities and  ...  These are artificial neural networks; support vector machines; decision trees; ensembles, Bayesians, hybrids, and neuro-fuzzy; and deep learning.  ...  [67] design an incentive framework for an intelligent traffic system based on initiative game-theory. Vuppalapati et al.  ... 
doi:10.1007/978-3-030-36841-8_22 fatcat:w2vgzxioj5ghlnspoaqclfujpe

Towards Smart City Innovation Illustrated Technical Paper

Joberto S. B. Martins
2018 Zenodo  
This "ILLUSTRATED TECHNICAL PAPER" presents the slides describing the contents of the paper "Towards Smart City Innovation".  ...  The talk was presented at VIII National Conference on Communication, Computer Networks and Information Security - ENCOM 2018, 19, 20 and 21 of October 2018 at Federal University of Bahia - UFBA, Salvador  ...  learning for smart cities.  ... 
doi:10.5281/zenodo.1467940 fatcat:omovkfrp2bhfheypa64atvqtlq

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Mostafa Ahmed Ezzat, Mohamed A. Abd El Ghany, Sultan Almotairi, Mohammed A.-M. Salem
2021 Sensors  
The automation strategy of today's smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights.  ...  In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced.  ...  Lastly, discussing the existing literature review in the scope of our study by giving an overview on the different subjects such as Smart City, Surveillance, IoT, Artificial Intelligence and Edge Computing  ... 
doi:10.3390/s21093222 pmid:34066509 fatcat:27lploodmvdl3k36x4jzw2acly

The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT

Rushit Dave, Naeem Seliya, Nyle Siddiqui
2021 Journal of Computer Sciences and Applications  
Edge computing has an impressive transmission speed based on fifth generation (5G) communication which transmits data with low latency and high bandwidth.  ...  This paper will take a detailed look into edge computing applications around Internet of Things (IoT) devices, smart city infrastructure, and benefits to healthcare.  ...  Novel Edge Computing Techniques for Smart Cities In conjunction with the IoT domain, edge computing technology also plays an important role in smart cities.  ... 
doi:10.12691/jcsa-9-1-3 fatcat:vmns5wduyjgd5fdzq3hh625bpe
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