MAXIMIZING NETWORK CAPACITY, CONTROL AND MANAGEMENT IN DESIGNING A TELEMEDICINE NETWORK: A REVIEW AND RECENT CHALLENGES

Bashir Olaniyi Sadiq; Sikiru Olayinka Zakariyya; M. D. Buhari; A. N.  Shuaibu

doi:10.4314/njt.v43i1.11

Authors

B. O. Sadiq Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria, and Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Uganda
O. S. Zakariyya Department of Electrical and Electronic Engineering, University of Ilorin, Kwara State Nigeria
M. D. Buhari Department of Electrical and Electronic Engineering, ATBU Bauchi, Bauchi State Nigeria, and Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Uganda
A. N. Shuaibu Department of Electrical and Electronics Engineering, University of Jos, Jos Nigeria, and Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Uganda

DOI:

https://doi.org/10.4314/njt.v43i1.11

Keywords:

Optical networks, Telemedicine Network, Unmanned Aerial Vehicles (UAV), SDN, QoS, Network capacity

Abstract

Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks, and capabilities in designing a telemedicine network with respect to its performance and customization is presented in this study, with a historical history and a future view. The first section of the article goes over the history of traffic and capacity expansion, as well as future projections. By introducing a medical and image data communication protocol for telemedicine, the second section examines the technological constraints of expanding capacity in the era of UAV & software-defined networking. The third section discusses ways to maximize network capacity by considering quality of service (QoS) capacity issues. Finally, the article explores how to construct a telemedicine network that can provide performance, customization, and capabilities to keep up with increased traffic in the coming decades. Research gaps and future directions were presented in the last section.

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