Volume 3, Issue 1, PP: 08-19, 2023 | Cite this article as | XML | | Html PDF
Ahmed Sleem 1 *
The evolution of smart cities represents a pivotal transformation in urban development, driven by the integration of cutting-edge technologies. Among these, blockchain and edge intelligence have emerged as pivotal forces shaping the future of smart cities. This paper presents a comprehensive review and outlook on the potential synergy between blockchain and edge intelligence, highlighting their transformative impact on sustainable smart city development. In our analysis, we delve into the key components and technologies associated with smart cities, emphasizing their goals of sustainability, efficiency, and improved quality of life. We introduce the concepts of blockchain and edge intelligence, elucidating their applications across various industries and urban domains. Moreover, we identify gaps in the existing literature and underscore the critical need for further research in the synergy of these technologies in smart cities. Our exploration extends to the significance of the study, emphasizing the timeliness of this research amidst growing interest in sustainable smart cities. We discuss the potential benefits and implications of this technological convergence for urban planning, technology adoption, and sustainability. This paper envisions smart cities that prioritize sustainability, circular economies, and data privacy, while fostering innovation and collaboration among public and private stakeholders. As we look to the future, we anticipate that this convergence will pave the way for more resilient, sustainable, and inclusive smart cities, and we outline potential areas for further research and development in this exciting field.
Sustainable Smart Cities , , Blockchain Technology, Edge Intelligence , IoT (Internet of Things) , Decentralized Systems , Urban Sustainability , Edge Computing , , Smart Governance , Edge Devices , , Smart Mobility , , Resilient Cities.
[1] Rejeb, Abderahman, Karim Rejeb, Steve Simske, Horst Treiblmaier, and Suhaiza Zailani. "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 (2022): 100565.
[2] Dai, Hong-Ning, Yulei Wu, Hao Wang, Muhammad Imran, and Noman Haider. "Blockchain-empowered edge intelligence for internet of medical things against COVID-19." IEEE Internet of Things Magazine 4, no. 2 (2021): 34-39.
[3] Liu, Yaqiong, Mugen Peng, Guochu Shou, Yudong Chen, and Siyu Chen. "Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things." IEEE Internet of Things Journal 7, no. 8 (2020): 6722-6747.
[4] Khan, Latif U., Ibrar Yaqoob, Nguyen H. Tran, SM Ahsan Kazmi, Tri Nguyen Dang, and Choong Seon Hong. "Edge-computing-enabled smart cities: A comprehensive survey." IEEE Internet of Things Journal 7, no. 10 (2020): 10200-10232.
[5] Ismail, Leila, and Rajkumar Buyya. "Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions." Sensors 22, no. 15 (2022): 5750.
[6] Chen, Yali, Dan Huang, Zhen Liu, Mohamed Osmani, and Peter Demian. "Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city." Sustainability 14, no. 16 (2022): 10028.
[7] Allam, Zaheer, and Zaynah A. Dhunny. "On big data, artificial intelligence and smart cities." Cities 89 (2019): 80-91.
[8] Zaidi, Abdelhamid, Samuel-Soma M. Ajibade, Majd Musa, and Festus Victor Bekun. "New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach." International Journal of Energy Economics and Policy 4 (2023): 287.
[9] Mishra, Priyanka, and Ghanshyam Singh. "Internet of Medical Things Healthcare for Sustainable Smart Cities: Current Status and Future Prospects." Applied Sciences 13, no. 15 (2023): 8869.
[10] Cui, Enfang, Weiting Zhang, Dong Yang, Wen Wu, and Feng Lyu. "Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G." In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), pp. 837-845. IEEE, 2021.
[11] Nikitas, Alexandros, Kalliopi Michalakopoulou, Eric Tchouamou Njoya, and Dimitris Karampatzakis. "Artificial intelligence, transport and the smart city: Definitions and dimensions of a new mobility era." Sustainability 12, no. 7 (2020): 2789.
[12] Zahmatkesh, Hadi, and Fadi Al-Turjman. "Fog computing for sustainable smart cities in the IoT era: Caching techniques and enabling technologies-an overview." Sustainable cities and society 59 (2020): 102139.
[13] Deng, Shuiguang, Hailiang Zhao, Weijia Fang, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya. "Edge intelligence: The confluence of edge computing and artificial intelligence." IEEE Internet of Things Journal 7, no. 8 (2020): 7457-7469.
[14] Biswas, Anushka, and Hwang-Cheng Wang. "Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain." Sensors 23, no. 4 (2023): 1963.
[15] Lu, Chun-Wei, Jui-Chan Huang, Chen Chen, Ming-Hung Shu, Chih-Wei Hsu, and BR Tapas Bapu. "An energy-efficient smart city for sustainable green tourism industry." Sustainable Energy Technologies and Assessments 47 (2021): 101494.
[16] Ren, Yi-Shuai, Chao-Qun Ma, Xun-Qi Chen, Yu-Tian Lei, and Yi-Ran Wang. "Sustainable finance and blockchain: A systematic review and research agenda." Research in International Business and Finance (2023): 101871.
[17] Bashirpour Bonab, Aysan, Maria Fedele, Vincenzo Formisano, and Ihor Rudko. "Quantum Technologies for Smart Cities: A Comprehensive Review and Analysis." Available at SSRN 4231189 (2022).
[18] Wu, Susie Ruqun, Gabriela Shirkey, Ilke Celik, Changliang Shao, and Jiquan Chen. "A review on the adoption of AI, BC, and IoT in sustainability research." Sustainability 14, no. 13 (2022): 7851.
[19] Molokomme, Daisy Nkele, Adeiza James Onumanyi, and Adnan M. Abu-Mahfouz. "Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges." Journal of Sensor and Actuator Networks 11, no. 3 (2022): 47.
[20] Gupta, Chabi. "Blockchain technology toward green internet of things—an exploratory survey." In Green Blockchain Technology for Sustainable Smart Cities, pp. 279-302. Elsevier, 2023.
[21] "Disclosing edge intelligence: A systematic meta-survey." Big Data and Cognitive Computing 7, no. 1 (2023): 44.
[22] Polas, Mohammad Rashed Hasan, Asghar Afshar Jahanshahi, Ahmed Imran Kabir, Abu Saleh Md Sohel-Uz-Zaman, Abu Rashed Osman, and Ridoan Karim. "Artificial intelligence, blockchain technology, and risk-taking behavior in the 4.0 IR Metaverse Era: evidence from Bangladesh-based SMEs." Journal of Open Innovation: Technology, Market, and Complexity 8, no. 3 (2022): 168.
