Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions

Shrouk A. Ali, Shaimaa Ahmed Elsaid, Abdelhamied A. Ateya (), Mohammed ElAffendi and Ahmed A. Abd El-Latif ()
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Shrouk A. Ali: Department of Electronics and Communications Engineering, Zagazig University, Zagazig 44519, Egypt
Shaimaa Ahmed Elsaid: Department of Electronics and Communications Engineering, Zagazig University, Zagazig 44519, Egypt
Abdelhamied A. Ateya: Department of Electronics and Communications Engineering, Zagazig University, Zagazig 44519, Egypt
Mohammed ElAffendi: EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
Ahmed A. Abd El-Latif: EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia

Future Internet, 2023, vol. 15, issue 12, 1-43

Abstract: The concept of smart cities, which aim to enhance the quality of urban life through innovative technologies and policies, has gained significant momentum in recent years. As we approach the era of next-generation smart cities, it becomes crucial to explore the key enabling technologies that will shape their development. This work reviews the leading technologies driving the future of smart cities. The work begins by introducing the main requirements of different smart city applications; then, the enabling technologies are presented. This work highlights the transformative potential of the Internet of things (IoT) to facilitate data collection and analysis to improve urban infrastructure and services. As a complementary technology, distributed edge computing brings computational power closer to devices, reducing the reliance on centralized data centers. Another key technology is virtualization, which optimizes resource utilization, enabling multiple virtual environments to run efficiently on shared hardware. Software-defined networking (SDN) emerges as a pivotal technology that brings flexibility and scalability to smart city networks, allowing for dynamic network management and resource allocation. Artificial intelligence (AI) is another approach for managing smart cities by enabling predictive analytics, automation, and smart decision making based on vast amounts of data. Lastly, the blockchain is introduced as a promising approach for smart cities to achieve the required security. The review concludes by identifying potential research directions to address the challenges and complexities brought about by integrating these key enabling technologies.

Keywords: smart city; blockchain; software-defined networking; IoT; edge computing; AI (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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