RT-TelSurg: Real Time Telesurgery Using SDN, Fog, and Cloud as Infrastructures

Shahrzad Sedaghat,Amir Hossein Jahangir

doi:10.1109/access.2021.3069744

Shahrzad Sedaghat, Amir Hossein Jahangir

Open Access

https://doi.org/10.1109/access.2021.3069744

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Abstract

This paper proposes a novel and efficient real time network architecture, named RT-TelSurg, for one of the most appealing tactile Internet applications, i.e., Telesurgery. In telesurgery, the patient’s vital signs and status and the required robotic commands during the surgery should be received on time. Otherwise, the life of the patient or the safety of the operation is endangered. Hence, transmitted packets should meet their respective relative deadlines. Software-defined networking is a relatively new architecture for computer and telecommunications networks in which the network control plane is separated from the data plane. One way to achieve real time telesurgery is to employ cloud and fog networks using SDN as infrastructure. By using a real time cloud controller in the SDN as the core and a fog controller on the edge of the network on the master (physician) side, one may satisfy the acceptable level of the timing constraints of the telesurgery. Accordingly, based on the presented architecture, we develop the statistical performance model of our proposed approach, RT-TelSurg. This statistical queuing theory model is designed for critical and non-critical states of the network. Based on these states, network resources are allocated to telesurgery data in both modes, and a computational bottleneck is detected. RT-TelSurg is evaluated according to real time and surgery efficiency parameters. The results show that the average deadline hit ratio is 98.2% in different conditions, which is quite acceptable for telesurgery applications.

Highlights

Telesurgery is a technique for performing surgery online on a patient by a physician through an electronic channel without being physically present at his/her location
This paper aims to present and investigate an efficient solution to meet real time (RT) traffic requirements, improving deadline hit ratio in telesurgery applications based on fiber-optic infrastructure by using Software defined network (SDN), cloud, and fog technologies in different network conditions
INNOVATION In the present research, the most important innovation is to provide a new effective packet forwarding solution so that RT packets in telesurgery applications meet their RT requirements using some techniques such as exploiting the reserved bandwidth based on network status and the proposed novel scheduling algorithm, LE2EDF

Summary

INTRODUCTION

Telesurgery ( known as remote surgery) is a technique for performing surgery online on a patient by a physician through an electronic channel without being physically present at his/her location. A. OBJECTIVE This paper aims to present and investigate an efficient solution to meet RT traffic requirements, improving deadline hit ratio in telesurgery applications based on fiber-optic infrastructure by using SDN, cloud, and fog technologies in different network conditions. OBJECTIVE This paper aims to present and investigate an efficient solution to meet RT traffic requirements, improving deadline hit ratio in telesurgery applications based on fiber-optic infrastructure by using SDN, cloud, and fog technologies in different network conditions It is evaluated in terms of several criteria, with some physicians and surgeon medical students’ consultation and cooperation. B. INNOVATION In the present research, the most important innovation is to provide a new effective packet forwarding solution so that RT packets in telesurgery applications meet their RT requirements using some techniques such as exploiting the reserved bandwidth based on network status and the proposed novel scheduling algorithm, LE2EDF. If the statistical properties of the recommender system(s) accord with the inequality (propositions 12), the use of this unit is disabled in the master device as long as this condition is met

ROUTING AND FORWARDING METHODS IN THE MASTER FOG ZONE

Findings

CONCLUSION