1
Digital Charging Solutions GmbH, Germany
(Mustafa.iessa@gmail.com)
2
University of Technology and Applied Science, Shinas, Oman
(aaras.kraidi@shct.edu.om)
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.
References :
[1]
Badidi, Elarbi. "Edge AI and blockchain for smart sustainable cities: Promise and potential." Sustainability 14.13 (2022): 7609.
[2] Rejeb, A., Rejeb, K., Simske, S. J., & Keogh, J. G. (2021). Blockchain technology in the smart city: A bibliometric review. Quality & Quantity, 1-32.
[3] Yigitcanlar, T., Desouza, K. C., Butler, L., & Roozkhosh, F. (2020). Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 13(6), 1473.
[4] Singh, S., Sharma, P. K., Yoon, B., Shojafar, M., Cho, G. H., & Ra, I. H. (2020). Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable cities and society, 63, 102364.
[5] Bhushan, B., Khamparia, A., Sagayam, K. M., Sharma, S. K., Ahad, M. A., & Debnath, N. C. (2020). Blockchain for smart cities: A review of architectures, integration trends and future research directions. Sustainable Cities and Society, 61, 102360.
[6] Alsamhi, S. H., Almalki, F. A., Afghah, F., Hawbani, A., Shvetsov, A. V., Lee, B., & Song, H. (2021). Drones’ edge intelligence over smart environments in B5G: Blockchain and federated learning synergy. IEEE Transactions on Green Communications and Networking, 6(1), 295-312.
[7] Liu, Z., Chi, Z., Osmani, M., & Demian, P. (2021). Blockchain and building information management (BIM) for sustainable building development within the context of smart cities. Sustainability, 13(4), 2090.
[8] Heidari, A., Navimipour, N. J., & Unal, M. (2022). Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review. Sustainable Cities and Society, 104089.
[9] Rejeb, A., Rejeb, K., Simske, S., Treiblmaier, H., & Zailani, S. (2022). The big picture on the internet of things and the smart city: a review of what we know and what we need to know. Internet of Things, 19, 100565.
[10] Kumari, A., & Tanwar, S. (2020). Secure data analytics for smart grid systems in a sustainable smart city: Challenges, solutions, and future directions. Sustainable computing: informatics and systems, 28, 100427.
[11] Zhang, Y., Feng, Z., Moustafa, H., Ye, F., Javaid, U., & Cui, C. (2021). Guest editorial: Edge intelligence for beyond 5G networks. IEEE Wireless Communications, 28(2), 10-11.
[12] Alnahari, M. S., & Ariaratnam, S. T. (2022). The application of blockchain technology to smart city infrastructure. Smart Cities, 5(3), 979-993.
[13] Cao, L. (2022). Decentralized ai: Edge intelligence and smart blockchain, metaverse, web3, and desci. IEEE Intelligent Systems, 37(3), 6-19.
[14] Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022). Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs). Business Strategy and the Environment, 31(1), 194-217.
[15] Khalil, U., Malik, O. A., Uddin, M., & Chen, C. L. (2022). A comparative analysis on blockchain versus centralized authentication architectures for IoT-enabled smart devices in smart cities: a comprehensive review, recent advances, and future research directions. Sensors, 22(14), 5168.
[16] Ren, Y. S., Ma, C. Q., Chen, X. Q., Lei, Y. T., & Wang, Y. R. (2023). Sustainable finance and blockchain: A systematic review and research agenda. Research in International Business and Finance, 101871.
[17] Esmaeilian, B., Wang, B., Lewis, K., Duarte, F., Ratti, C., & Behdad, S. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste management, 81, 177-195.
[18] Herath, H. M. K. K. M. B., & Mittal, M. (2022). Adoption of artificial intelligence in smart cities: A comprehensive review. International Journal of Information Management Data Insights, 2(1), 100076.
[19] Radu, L. D. (2020). Disruptive technologies in smart cities: a survey on current trends and challenges. Smart Cities, 3(3), 1022-1038.
[20] Chen, Y., Lu, Y., Bulysheva, L., & Kataev, M. Y. (2022). Applications of blockchain in industry 4.0: A review. Information Systems Frontiers, 1-15.
[21] Rizi, M. H. P., & Seno, S. A. H. (2022). A systematic review of technologies and solutions to improve security and privacy protection of citizens in the smart city. Internet of Things, 20, 100584.
[22] Bagloee, S. A., Heshmati, M., Dia, H., Ghaderi, H., Pettit, C., & Asadi, M. (2021). Blockchain: The operating system of smart cities. Cities, 112, 103104.
[23] Treiblmaier, H., Rejeb, A., & Strebinger, A. (2020). Blockchain as a driver for smart city development: application fields and a comprehensive research agenda. Smart Cities, 3(3), 853-872.
[24] Karger, E., Jagals, M., & Ahlemann, F. (2021). Blockchain for smart mobility—literature review and future research agenda. Sustainability, 13(23), 13268.
[25] Ghazal, T. M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., ... & Akour, I. A. (2021). IoT for smart cities: Machine learning approaches in smart healthcare—A review. Future Internet, 13(8), 218.
[26] Xie, J., Tang, H., Huang, T., Yu, F. R., Xie, R., Liu, J., & Liu, Y. (2019). A survey of blockchain technology applied to smart cities: Research issues and challenges. IEEE communications surveys & tutorials, 21(3), 2794-2830.
[27] Ramu, S. P., Boopalan, P., Pham, Q. V., Maddikunta, P. K. R., Huynh-The, T., Alazab, M., ... & Gadekallu, T. R. (2022). Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions. Sustainable Cities and Society, 79, 103663.
[28] He, P., Almasifar, N., Mehbodniya, A., Javaheri, D., & Webber, J. L. (2022). Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review. Sustainable Computing: Informatics and Systems, 36, 100822.
[29] Kamruzzaman, M. M. (2022). Key technologies, applications and trends of internet of things for energy-efficient 6G wireless communication in smart cities. Energies, 15(15), 5608.
[30] Yigitcanlar, T., Mehmood, R., & Corchado, J. M. (2021). Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures. Sustainability, 13(16), 8952.
| Style | # |
|---|---|
| MLA | Mustafa El-Taie , Aaras Y.Kraidi. "Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis." Journal of Cybersecurity and Information Management, Vol. 12, No. 1, 2023 ,PP. 50-61 (Doi : https://doi.org/10.54216/JCIM.120105) |
| APA | Mustafa El-Taie , Aaras Y.Kraidi. (2023). Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Journal of Cybersecurity and Information Management, 12 ( 1 ), 50-61 (Doi : https://doi.org/10.54216/JCIM.120105) |
| Chicago | Mustafa El-Taie , Aaras Y.Kraidi. "Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis." Journal of Journal of Cybersecurity and Information Management, 12 no. 1 (2023): 50-61 (Doi : https://doi.org/10.54216/JCIM.120105) |
| Harvard | Mustafa El-Taie , Aaras Y.Kraidi. (2023). Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Journal of Cybersecurity and Information Management, 12 ( 1 ), 50-61 (Doi : https://doi.org/10.54216/JCIM.120105) |
| Vancouver | Mustafa El-Taie , Aaras Y.Kraidi. Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis. Journal of Journal of Cybersecurity and Information Management, (2023); 12 ( 1 ): 50-61 (Doi : https://doi.org/10.54216/JCIM.120105) |
| IEEE | Mustafa El-Taie, Aaras Y.Kraidi, Blockchain Meets Edge Intelligence for Smart Cities Sustainability: An Insightful Review and Prospective Analysis, Journal of Journal of Cybersecurity and Information Management, Vol. 12 , No. 1 , (2023) : 50-61 (Doi : https://doi.org/10.54216/JCIM.120105) |