Cloud and AI in Telecom’s Role in Smart Cities and IoT Networks

Authors

  • Surendra Mohan Devaraj Asta CRS Inc., USA Author

Keywords:

AI in telecom, IoT ecosystems, smart cities, cloud computing, real-time analytics, environmental monitoring, traffic management

Abstract

The rise of smart cities and Internet of Things (IoT) networks has transformed urban management and services, placing telecom operators at the core of connectivity and data-driven decision-making. Leveraging Artificial Intelligence (AI) and cloud platforms, telecom operators facilitate IoT data processing, real-time analytics, and enhanced service delivery for smart cities. This paper investigates the critical role of AI and cloud technologies in enabling telecom operators to support IoT ecosystems, focusing on connectivity, data management, and real-time decision-making. Key areas of study include smart city infrastructure, AI-based traffic management, environmental monitoring, and cloud-based IoT platforms. Using a combination of qualitative and quantitative analysis, we provide insights into how telecom advances foster innovation and efficiency across smart city landscapes.

References

Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805.

Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog Computing and Its Role in the Internet of Things. Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, 13-16.

Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and Internet of Things: A survey. Future Generation Computer Systems, 56, 684-700. Link

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660.

Kumar, P., Skouloudis, A. N., Bell, M., & Kalantar-Zadeh, K. (2015). Real-time air quality monitoring through IoT-based networks. Environmental Science & Technology, 49(22), 13650-13658.

Palattella, M. R., et al. (2016). Internet of Things in the 5G Era: Enablers, architecture, and business models. IEEE Journal on Selected Areas in Communications, 34(3), 510-527.

Sharma, S., Saini, B., & Aggarwal, N. (2018). AI-enabled traffic signal control system for congestion management. Journal of Traffic and Transportation Engineering, 5(1), 12-20.

Talari, S., Shafie-khah, M., Siano, P., & Loia, V. (2017). A Review of Smart Cities Based on the Internet of Things Concept. Energies, 10(4), 421.

Tsai, C. W., Lai, C. F., & Vasilakos, A. V. (2014). Future Internet of Things: Open issues and challenges. Wireless Networks, 20(8), 2201-2217.

Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for Smart Cities. IEEE Internet of Things Journal, 1(1), 22-32.

Downloads

Published

26-04-2023

How to Cite

Surendra Mohan Devaraj. (2023). Cloud and AI in Telecom’s Role in Smart Cities and IoT Networks. International Journal of Computer Science and Information Technology Research , 4(1), 47–62. https://ijcsitr.com/index.php/home/article/view/IJCSITR_2023_04_01_006