A Framework for Enhancing the Energy Efficiency of IoT Devices in 5G Network

  • Shikha Kasliwal SSSUTMS, Sehore, Madhya Pradesh
  • Jitendra Sheetlani SSSUTMS, Sehore, Madhya Pradesh
  • Pankaj Kawadkar SSSUTMS, Sehore, Madhya Pradesh
Keywords: Security, Privacy, IoT, 5G network


A wide range of services, such as improved mobile broadband, extensive machine-type communication, ultra-reliability, and low latency, are anticipated to be delivered via the 5G network. The 5G network has developed as a multi-layer network that uses numerous technological advancements to provide a wide array of wireless services to fulfil such a diversified set of requirements. Several technologies, including software-defined networking, network function virtualization, edge computing, cloud computing, and tiny cells, are being integrated into the 5G networks to meet the needs of various requirements. Due to the higher power consumption that will arise from such a complicated network design, energy efficiency becomes crucial. The network machine learning technique has attracted a lot of interest from the scientific community because it has the potential to play a crucial role in helping to achieve energy efficiency. Utilization factor, access latency, arrival rate, and other metrics are used to study the proposed scheme. It is determined that our system outperforms the present scheme after comparing the suggested scheme to these parameters.


Download data is not yet available.


[1]. Theodore. s, Rappaport, by Millimeter Wave Mobile Communications for 5G Cellular, Digital Object Identifier 10.1109/ACCESS.2260813May 29, 2013.
[2]. O. Novo, N. Beijar, and M. Ocak, Capillary networks - bridging the cellular and loT worlds, IEEE World Forum on Internet of Things (WF-IoT), vol. 1, pp. 571 578, 2015
[3]. Ramya Ranjan Choudhury, by, A Network Overview of Massive MIMO for 5G Wireless Cellular System Model and Potentials, International Journal of Engineering Research and General Science Volume 2, Issue 4, June-July, ISSN 2091-2730,2014.
[4]. M. Zakarya and L. Gillam, “Energy efficient computing, clusters, grids and clouds: A taxonomy and survey,” Sustain. Comput. Information. Syst., vol. 14, pp. 13_33, Jun. 2017.
[5]. I. B. Sofi and A. Gupta, “A survey on energy-efficient 5G green network with a planned multi-tier architecture,” J. Netw. Comput. Appl., vol. 118, pp. 1-28, Sep. 2018.
[6]. A. Kassaw, D. Hailemariam, and A. M. Zoubir, “Review of energy-efficient resource allocation techniques in massive mimo system,” in Proc. Int. Conf. Inf. Commun. Technol. Converg. (ICTC), 2018, pp. 237-242.
[7]. D. Feng, C. Jiang, G. Lim, L. J. Cimini, G. Feng, and G. Ye Li, “A survey of energy-efficient wireless communications,” IEEE Commun. Surveys Tuts., vol. 15, no. 1, pp. 167-178, 1st Quart., 2013.
[8]. X. Zhou, R. Zhang, and C. K. Ho, “Wireless information and power transfer Architecture design and rate-energy tradeoff,” in Proceedings of IEEE Global Communications Conference (GLOBECOM’12), pp. 3982–3987, Dec. 2012
How to Cite
Kasliwal, S., Sheetlani, J., & Kawadkar, P. (2022). A Framework for Enhancing the Energy Efficiency of IoT Devices in 5G Network. International Journal of Advanced Computer Technology, 11(6), 1-6. Retrieved from http://ijact.org/index.php/ijact/article/view/119