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Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-04-22 , DOI: 10.1002/dac.4426 Mohammad Reza Parsaei 1 , Hamid Reza Boveiri 1 , Reza Javidan 1 , Raouf Khayami 1
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-04-22 , DOI: 10.1002/dac.4426 Mohammad Reza Parsaei 1 , Hamid Reza Boveiri 1 , Reza Javidan 1 , Raouf Khayami 1
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Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.
中文翻译：
基于Type-2模糊系统和增强型布谷鸟优化算法的SDN远程手术QoS改进
远程医疗是一个基于信息和通信技术的新领域，用于收集，存储，组织，检索和交换医疗信息。远程医疗的最重要应用之一确实是远程外科手术，其中需要在手术室和远程医生之间建立有效的电信基础设施。远程外科中要解决的最重要问题之一是找到用于路由的有利链接，并提供高服务质量（QoS）。本文提出了一种基于Type-2模糊系统（T2FS）和布谷鸟优化算法（COA）混合在软件定义网络（SDN）上的有效模型，以实现远程手术应用的最佳且可靠的路线。使用T2FS，可以确定链接的适用性。然后，针对约束最短路径（CSP）问题进行COA，以找到最佳路线。延迟被认为是CSP问题，可以通过尝试以最小的成本找到路径来解决。由于CSP问题的NP完全性，提出了增强型COA（所谓的E-COA）并将其用作元启发式求解器。据我们所知，本文是第一个基于SDN的通信模型，该模型同时使用T2FS和E-COA为网络的链路分配适当的成本，并根据远程手术的QoS要求解决了CSP问题。该模型还识别并保留第二好的路由，以保持此类关键应用程序的可靠性。除了模拟之外，性能评估还可以在真实的实验场景中进行。
更新日期：2020-04-22
中文翻译：
基于Type-2模糊系统和增强型布谷鸟优化算法的SDN远程手术QoS改进
远程医疗是一个基于信息和通信技术的新领域，用于收集，存储，组织，检索和交换医疗信息。远程医疗的最重要应用之一确实是远程外科手术，其中需要在手术室和远程医生之间建立有效的电信基础设施。远程外科中要解决的最重要问题之一是找到用于路由的有利链接，并提供高服务质量（QoS）。本文提出了一种基于Type-2模糊系统（T2FS）和布谷鸟优化算法（COA）混合在软件定义网络（SDN）上的有效模型，以实现远程手术应用的最佳且可靠的路线。使用T2FS，可以确定链接的适用性。然后，针对约束最短路径（CSP）问题进行COA，以找到最佳路线。延迟被认为是CSP问题，可以通过尝试以最小的成本找到路径来解决。由于CSP问题的NP完全性，提出了增强型COA（所谓的E-COA）并将其用作元启发式求解器。据我们所知，本文是第一个基于SDN的通信模型，该模型同时使用T2FS和E-COA为网络的链路分配适当的成本，并根据远程手术的QoS要求解决了CSP问题。该模型还识别并保留第二好的路由，以保持此类关键应用程序的可靠性。除了模拟之外，性能评估还可以在真实的实验场景中进行。
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