Journal of Cybersecurity and Information Management

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https://doi.org/10.54216/JCIM

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Volume 12 , Issue 1 , PP: 50-61, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis

Mustafa El-Taie 1 * , Aaras Y.Kraidi 2

  • 1 Digital Charging Solutions GmbH, Germany - (Mustafa.iessa@gmail.com)
  • 2 University of Technology and Applied Science, Shinas, Oman - (aaras.kraidi@shct.edu.om)
  • Doi: https://doi.org/10.54216/JCIM.120105

    Received: December 19, 2022 Revised: February 22, 2023 Accepted: April 27, 2023
    Abstract

    The convergence of blockchain technology and edge intelligence has emerged as a transformative force in the realm of smart cities, offering unprecedented opportunities to enhance sustainability. This paper presents a comprehensive review and prospective analysis of this convergence, shedding light on its potential to revolutionize urban environments. We commence with an exploration of the fundamental components of blockchain technology, emphasizing its core principles of decentralization, immutability, and consensus mechanisms. Simultaneously, we trace the historical evolution of blockchain from its origins with Bitcoin to its broad applications in diverse domains. In the context of edge intelligence, we examine how this paradigm shift decentralizes data processing, enabling real-time decision-making and enhancing data security. We elucidate its key components, such as edge devices and analytics algorithms, while highlighting its critical role in reshaping the urban landscape. The crux of this paper lies in the convergence of blockchain and edge intelligence, where we explore its profound implications for the sustainability of smart cities. From efficient energy management and waste reduction to improved transportation and green infrastructure, this convergence empowers smart cities to optimize resource usage, reduce environmental impact, and enhance the quality of life for their residents. Through a prospective analysis, we anticipate emerging trends and innovations that will shape the future of smart city sustainability, including AI integration, 5G connectivity, and circular economy initiatives. As smart cities continue to evolve, they stand at the forefront of addressing urbanization challenges while fostering sustainable, inclusive, and prosperous urban environments.

    Keywords :

    Blockchain , Edge intelligence , Smart cities , Sustainability , Urban development , Environmental impact , Civic engagement

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    Cite This Article As :
    El-Taie, Mustafa. , Y.Kraidi, Aaras. Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Cybersecurity and Information Management, vol. , no. , 2023, pp. 50-61. DOI: https://doi.org/10.54216/JCIM.120105
    El-Taie, M. Y.Kraidi, A. (2023). Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Cybersecurity and Information Management, (), 50-61. DOI: https://doi.org/10.54216/JCIM.120105
    El-Taie, Mustafa. Y.Kraidi, Aaras. Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Cybersecurity and Information Management , no. (2023): 50-61. DOI: https://doi.org/10.54216/JCIM.120105
    El-Taie, M. , Y.Kraidi, A. (2023) . Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Cybersecurity and Information Management , () , 50-61 . DOI: https://doi.org/10.54216/JCIM.120105
    El-Taie M. , Y.Kraidi A. [2023]. Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Cybersecurity and Information Management. (): 50-61. DOI: https://doi.org/10.54216/JCIM.120105
    El-Taie, M. Y.Kraidi, A. "Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis," Journal of Cybersecurity and Information Management, vol. , no. , pp. 50-61, 2023. DOI: https://doi.org/10.54216/JCIM.120105