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Paper ID:IJSREM65240

Innovative ICT Applications in Smart Cities: A PRISMA-Based Systematic Literature Review

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65240

Volume:

10 |

6 |

Jun 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65240

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DMK

Dr. Manpreet Kaur

Faculty of Computing

Guru Kashi University, Talwandi Sabo, PB, IN

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Abstract

Rapid urbanization has intensified the need for sustainable, resilient, and citizen-centric urban systems. Smart cities address this need by integrating Information and Communication Technologies (ICTs) with physical infrastructure, public services, and governance processes. This paper presents a PRISMA-informed systematic literature review of innovative ICT applications in smart cities, with emphasis on Internet of Things (IoT), artificial intelligence (AI), machine learning, blockchain, fifth-generation communication networks, cloud/edge computing, big-data analytics, and digital twins. The review was developed from an initial pool of 2,847 records identified across Scopus, IEEE Xplore, Web of Science, and ACM Digital Library. After duplicate removal, title-abstract screening, full-text assessment, and eligibility filtering, 156 studies published from 2019 to 2024 were included for qualitative synthesis. The findings show that IoT sensor networks and AI-based analytics dominate the evidence base, particularly in smart mobility, energy management, environmental monitoring, waste management, public safety, governance, and healthcare. However, large-scale implementation continues to be constrained by cybersecurity threats, privacy risks, interoperability gaps, financing limitations, governance fragmentation, and digital exclusion. The paper contributes an integrated taxonomy, comparative analysis of application domains, PRISMA flow diagram, layered architecture model, and future research agenda for sustainable ICT-enabled smart cities.

KEYWORDS

Smart cities ICT applications Internet of Things artificial intelligence PRISMA digital twins 5G blockchain urban informatics smart governance.

Cite This Article

Dr. Manpreet Kaur, "Innovative ICT Applications in Smart Cities: A PRISMA-Based Systematic Literature Review," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-9, Jun 2026. https://doi.org/10.55041/IJSREM65240

Full Article/Conclusion

This paper presented a PRISMA-based systematic literature review of innovative ICT applications in smart cities. The synthesis of 156 studies shows that IoT and AI are the dominant enabling technologies, while blockchain, 5G, cloud/edge computing, big-data analytics, and digital twins are increasingly important for secure, real-time, and integrated urban services. The most common application domains include smart mobility, energy management, environmental monitoring, public safety, waste management, governance, and healthcare. The review demonstrates that successful smart city implementation depends on more than technology adoption. Cities must address cybersecurity, privacy, interoperability, governance, financing, digital inclusion, and organizational readiness. The proposed layered ICT architecture provides a structured way to understand how devices, networks, platforms, intelligence, and applications interact in smart city ecosystems. Future research should focus on trustworthy AI, federated learning, sustainable ICT, digital twin governance, and smart city models for developing regions. A human-centered and sustainability-oriented approach is essential to ensure that smart city innovations improve urban life equitably and responsibly.

References

[1]                   M. J. Page et al., "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," BMJ, vol. 372, Art. no. n71, 2021, doi: 10.1136/bmj.n71. [2]                   A. Caragliu, C. Del Bo, and P. Nijkamp, "Smart cities in Europe," Journal of Urban Technology, vol. 18, no. 2, pp. 65-82, 2011, doi: 10.1080/10630732.2011.601117. [3]                   V. Albino, U. Berardi, and R. M. Dangelico, "Smart cities: Definitions, dimensions, performance, and initiatives," Journal of Urban Technology, vol. 22, no. 1, pp. 3-21, 2015, doi: 10.1080/10630732.2014.942092. [4]                   H. Chourabi et al., "Understanding smart cities: An integrative framework," in Proc. 45th Hawaii Int. Conf. System Sciences, 2012, pp. 2289-2297, doi: 10.1109/HICSS.2012.615. [5]                   P. Neirotti, A. De Marco, A. C. Cagliano, G. Mangano, and F. Scorrano, "Current trends in smart city initiatives: Some stylised facts," Cities, vol. 38, pp. 25-36, 2014, doi: 10.1016/j.cities.2013.12.010. [6]                   S. E. Bibri and J. Krogstie, "Smart sustainable cities of the future: An extensive interdisciplinary literature review," Sustainable Cities and Society, vol. 31, pp. 183-212, 2017, doi: 10.1016/j.scs.2017.02.016. [7]                   A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, "Internet of Things for smart cities," IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22-32, 2014, doi: 10.1109/JIOT.2014.2306328. [8]                   I. A. T. Hashem et al., "The role of big data in smart city," International Journal of Information Management, vol. 36, no. 5, pp. 748-758, 2016, doi: 10.1016/j.ijinfomgt.2016.05.002. [9]                   Z. Allam and Z. A. Dhunny, "On big data, artificial intelligence and smart cities," Cities, vol. 89, pp. 80-91, 2019, doi: 10.1016/j.cities.2019.01.032. [10]                T. Yigitcanlar, K. C. Desouza, L. Butler, and F. Roozkhosh, "Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature," Energies, vol. 13, no. 6, Art. no. 1473, 2020, doi: 10.3390/en13061473.

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Publication Date

6/20/2026

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