SMOTE: An Intelligent SDN-Based Multi-Objective Traffic Engineering Technique for Telesurgery

Abstract

Recently, telesurgery, as a branch of telemedicine, is growing at great speed. In telesurgery, a remote surgeon can communicate with operating room through communication networks in order to perform remote operation. Because human life is at stake in telesurgery, it is necessary to implement appropriate Traffic Engineering (TE) techniques to manage and route telesurgical data traffics over communication networks. Implementing proper TE technique can increase Quality of Experience (QoE) for the remote surgeon, and as a result, it increases the accuracy and performance of telesurgery. In recent years, the advent of Software Defined Network (SDN) has facilitated network providers to develop efficient TE methods to guarantee QoE for their customer applications. In this paper, a novel multi-objective TE technique called SMOTE is proposed to guarantee QoE for telesurgery applications over SDN. The goal of this paper is to enable a network administrator to provide a satisfactory remote operation by providing QoE for the remote surgeon. The objectives, which are considered in our proposed method, are the minimization of end-to-end delay and packet loss. SMOTE uses Non-dominated Sorting Genetic Algorithm (NSGA-II) a well-known multi-objective algorithm, to solve the optimization model for calculating optimal routes between the remote surgeon and the operating room. We conducted comprehensive simulations to evaluate the performance of SMOTE in terms of QoE. Simulation results confirmed that SMOTE guarantees QoE in telesurgery.

KEYWORDS:

• Intelligent
• QoS
• SDN
• Telesurgery
• Traffic engineering

Additional information

Notes on contributors

Reza Mohammadi

Reza Mohammadi has been assistant professor in computer engineering at Bu-Ali Sina University since 2018. He received his MSc and PhD degrees in computer networking from Shiraz University of Technology in 2013 and 2017, respectively. His PhD thesis was about traffic engineering in software defined networks (SDN). He has several publications in international conferences and journals regarding underwater wireless sensor networks (UWSNs) and software defined networks (SDNs). His major fields of interest are SDN, heuristic algorithms, SDN security, underwater wireless sensor networks, ad hoc networks, underground wireless sensor networks and Internet of Things (IoT). E-mail: [email protected]

Reza Javidan

Reza Javidan was born in 1970. He received MSc degree in computer engineering (Machine Intelligence and Robotics) from Shiraz University in 1996. He received PhD degree in computer engineering (Artificial Intelligence) from Shiraz University in 2007. His major fields of interests are network security, Underwater wireless sensor networks, software defined networks, IoT and SONAR systems. Dr. Javidan is now associate professor in the Department of Computer Engineering and Information Technology in Shiraz University of Technology.

Manijeh Keshtgari

Manijeh Keshtgari received her BSc in computer engineering from Shiraz University in 1986, her master's in electrical and computer engineering from Colorado State University, USA in 1992 and PhD degree in computer engineering from Sharif University of Technology in 2004. Her research interests include wireless networks, fiber optic networks, software defined networking (SDN) and named data networking (NDN). She is now a member of faculty and lecturer in Computer Engineering and IT Department in Shiraz University of Technology. In addition, she is a lecturer of Computer Science in the University of Georgia, USA. E-mail: [email protected]

Negar Rikhtegar

Negar Rikhtegar is a PhD student in the Department of Computer Engineering and Information Technology at Shiraz University of Technology, Iran. She received her MS degree in Computer Networks from Shiraz University of Technology in 2013. Her current research interests include nano-networks, wireless nano sensor networks, ad-hoc networks and data center networks. E-mail: [email protected]