Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

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 & softwaredefined 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.