Convergence between IoT systems and Cloud Computing for smart cities: An impact assessment

Authors

Keywords:

Smart Cities, Internet of Things (IoT), cloud computing, technological convergence

Abstract

This research examines the convergence between Internet of Things (IoT) systems and Cloud computing in the context of smart cities, analyzing their impact and the most effective strategies for their implementation, through a descriptive-analytical qualitative methodology, the study carries out a systematic review of recent academic literature (2019-2024), focusing on the evaluation of different architectures and integration models, the findings reveal that the three-tier architecture emerges as a fundamental model. Complemented by more dynamic approaches such as agent-based and service-oriented architectures, the incorporation of Fog Computing represents a significant evolution, allowing data processing closer to its source and reducing latency in critical applications. This research contributes significantly to the field by providing a comprehensive framework for the effective implementation of IoT-Cloud systems in smart cities, highlighting the importance of a holistic approach that considers both technological aspects and social and environmental impact.

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Author Biography

Lester Fernando Zambrano-Arcos, Instituto Superior Tecnológico Vicente Rocafuerte. Ecuador.

 

 

 

References

Ahmed, S. F., Shuravi, S., Afrin, S., Rafa, S. J., Hoque, M., & Gandomi, A. H. (2023). The Power of Internet of Things (IoT): Connecting the Dots with Cloud, Edge, and Fog Computing. arXiv.org. https://doi.org/10.48550/arXiv.2309.03420

Alam, T. (2021). Cloud-Based IoT Applications and Their Roles in Smart Cities. Smart Cities, 4(3), 1196–1219. https://doi.org/10.3390/smartcities4030064

Dadwal, S. S. (2023). IoT (Internet of Things), Cloud Computing and the Elementary Building Blocks of Smart Sustainable Cities. En, S. Dadwal, H. Jahankhani, G. Bowen, & I. Nawaz, Technology and Talent Strategies for Sustainable Smart Cities. (pp. 1-33). Emerald Publishing Limited, Leeds.

Dange, K. M. (2023). A comprehensive review on IoT based smart cities. Sustainable Engineering and Innovation, 5(1), 48-57. https://www.doi.org/10.37868/sei.v5i1.id188

Fahmideh, M., & Zowghi, D. (2020). IoT Smart City Architectures: An Analytical Evaluation. (Ponencia). 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Vancouver, Canada.

Feng, H., Tao, C., & Yan, J. (2019). Application of Cloud Computing and Internet of Things in the Construction of Smart City. (Ponencia). International Seminar on Automation, Intelligence, Computing, and Networking (ISAICN 2019. Ningbo, China.

Gunawan, Shabrina, W., & Andriani, W. (2022). Systematic Literature Review Implementation of the Internet of Things (IoT). Buana Information Tchnology and Computer Sciences (BIT and CS), 3(2). https://doi.org/10.36805/bit-cs.v3i2.2762

Jahantigh, M. N., Rahmani, A. M., Navimirour, N. J., & Rezaee, A. (2019). Integration of Internet of Things and cloud computing: a systematic survey. Iet Communications, 14(21), 3944-3944. https://doi.org/10.1049/iet-com.2019.0537

Khan, S., Wani, M. M., & Alam, M. (2020). IoT Applications in Urban Sustainability. arXiv: Other Computer Science. http://dx.doi.org/10.48550/arXiv.2008.10656

Kuchuk, H., & Malokhvii, E. (2024). Integration of iot with cloud, fog, and edge computing: a review. Advanced Information Systems, 8(2), 65–78. https://www.doi.org/10.20998/2522-9052.2024.2.08

Leal-Sobral, V. A., Nelson, J., Asmare, L., Mahmood, A., Mitchell, G., Tenkorang, K., Todd, C., Campbell, B., & Goodall, J. L. (2023). A Cloud-Based Data Storage and Visualization Tool for Smart City IoT: Flood Warning as an Example Application. Smart Cities, 6(3), 1416-1434. https://www.doi.org/10.3390/smartcities6030068

Mahmood, O. A., Abdellah, A. R., Muthanna, A., & Koucheryavy, A. (2022). Distributed Edge Computing for Resource Allocation in Smart Cities Based on the IoT. Information, 13(7). https://www.doi.org/10.3390/info13070328

Pamudji, A. K. (2023). IoT-driven Environmental Support System for Smart Cities. SISFORMA, 10(1). https://www.doi.org/10.24167/sisforma.v10i1.10209

Shenkoya, T. (2023). Sustainable Urban development: An evaluation of the impact of IoT on sustainable development and energy management in SMART cities. PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/rs.3.rs-1962624/v1

Su, P., Chen, Y., & Lu, M. (2022). Smart city information processing under internet of things and cloud computing. The Journal of Supercomputing, 78, 3676–3695. https://doi.org/10.1007/s11227-021-03972-5

Tekinerdogan, B., Köksal, Ö., & Celik, T. (2023). System Architecture Design of IoT-Based Smart Cities. Applied Sciences, 13(7), 4173. https://doi.org/https://www.doi.org/10.3390/app13074173

Whaiduzzaman, M., Barros, A., Chanda, M., Barman, S., Sultana, T., Rahman, S., Roy, S., & Fidge, C. (2022). A Review of Emerging Technologies for IoT-Based Smart Cities. Sensors, 22(23), 9271. https://www.doi.org/10.3390/s22239271

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Published

2025-05-01

How to Cite

Decimavilla-Alarcón, D. C., & Zambrano-Arcos, L. F. (2025). Convergence between IoT systems and Cloud Computing for smart cities: An impact assessment. Revista UGC, 3(2), 191–204. Retrieved from https://universidadugc.edu.mx/ojs/index.php/rugc/article/view/142

Issue

Vol. 3 No. 2 (2025): Crecimiento económico y desarrollo social sostenible (Mayo-agosto)

Section

Artículos

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Copyright (c) 2025 Diana Carolina Decimavilla-Alarcón, Lester Fernando Zambrano-Arcos

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