Cloud computing frameworks for smart city IoT deployments

Authors

  • Nagendra Kumar * School of Computer Engineering, KIIT (Deemed to be) University, Bhubaneswar – 751024, Odisha, India

https://doi.org/10.22105/metaverse.v1i3.68

Abstract

The Internet of Things (IoT) and cloud computing technologies have revolutionized urban management and governance. Smart cities employ these technologies to address challenges such as congestion, resource allocation, public safety, and environmental sustainability. Despite the potential, IoT frameworks for smart cities encounter significant limitations, such as scalability issues, high latency, energy inefficiency, and security vulnerabilities. This paper proposes an enhanced cloud computing framework for IoT deployments in smart cities. This framework integrates edge computing to overcome latency, scalability, and energy inefficiencies while improving data security. The proposed model is evaluated through simulations and real-world case studies in urban environments to demonstrate its efficiency and applicability.            

Keywords:

Smart cities, Urban management, Latency, Public safety, Internet of things

References

  1. [1] Panda, A. K., Lenka, A. A., Mohapatra, A., Rath, B. K., Parida, A. A., & Mohapatra, H. (2025). Integrating cloud computing for intelligent transportation solutions in smart cities: A short review. In Interdisciplinary approaches to transportation and urban planning (pp. 121–142). IGI Global. https://doi.org/10.4018/979-8-3693-6695-0.ch005
  2. [2] Kumar, A., Bag, A., Anand, A., Saha, S., Mohapatra, H., & Kolhar, M. (2024). Examining healthcare services utilizing cloud technology in intelligent urban environments. In Revolutionizing healthcare systems through cloud computing and iot (pp. 77–98). IGI Global. https://doi.org/10.4018/979-8-3693-7225-8.ch004
  3. [3] Martín-Baos, J. Á., Rodriguez-Benitez, L., García-Ródenas, R., & Liu, J. (2022). IoT based monitoring of air quality and traffic using regression analysis. Applied soft computing, 115, 108282. https://doi.org/10.1016/j.asoc.2021.108282
  4. [4] Abdulkareem, N. M., Zeebaree, S. R. M., Sadeeq, M. A. M., Ahmed, D. M., Sami, A. S., & Zebari, R. R. (2021). IoT and cloud computing issues, challenges and opportunities: A review. Qubahan academic journal, 1(2), 1–7. https://doi.org/10.48161/qaj.v1n2a36
  5. [5] Younis, R., Iqbal, M., Munir, K., Javed, M. A., Haris, M., & Alahmari, S. (2024). A comprehensive analysis of cloud service models: IaaS, PaaS, and SaaS in the context of emerging technologies and trend. 2024 international conference on electrical, communication and computer engineering (ICECCE) (pp. 1–6). IEEE. https://doi.org/10.1109/ICECCE63537.2024.10823401
  6. [6] AlTwaijiry, A. (2021). Cloud computing present limitations and future trends. ScienceOpen preprints. https://doi.org/10.14293/S2199-1006.1.SOR-.PPEYYII.v1
  7. [7] Stokols, S. A. (2024). Building digital cities and digital nations: Singapore, Thailand, China [Thesis]. 10.14293/S2199-1006.1.SOR-.PPEYYII.v1.
  8. [8] Mishra, P., & Singh, G. (2023). Energy management systems in sustainable smart cities based on the internet of energy: A technical review. Energies, 16(19), 6903. https://doi.org/10.3390/en16196903
  9. [9] 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
  10. [10] Ben Sada, A., Khelloufi, A., Naouri, A., Ning, H., & Dhelim, S. (2024). Hybrid metaheuristics for selective inference task offloading under time and energy constraints for real-time IoT sensing systems. Cluster computing, 27(9), 12965-12981. https://doi.org/10.1007/s10586-024-04578-1
  11. [11] Rao, P. M., & Deebak, B. D. (2023). Security and privacy issues in smart cities/industries: Technologies, applications, and challenges. Journal of ambient intelligence and humanized computing, 14(8), 10517–10553. https://doi.org/10.1007/s12652-022-03707-1

Downloads

Published

2024-09-22

Issue

Vol. 1 No. 3 (2024): Metaversalize

Section

Articles

Categories

How to Cite

Kumar, N. . (2024). Cloud computing frameworks for smart city IoT deployments. Metaversalize, 1(3), 129-138. https://doi.org/10.22105/metaverse.v1i3.68
Crossref
Scopus
Google Scholar
Europe PMC