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基于 SDN 的 WBAN 框架的控制平面优化,以支持医疗保健应用。

Control Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications.

机构信息

School of Information and Communication Technology, Griffith University, 58 Parklands Dr, Southport, QLD 4222, Australia.

College of Engineering and Science, Victoria University, Ballarat Rd, Footscray, VIC 3011, Australia.

出版信息

Sensors (Basel). 2020 Jul 28;20(15):4200. doi: 10.3390/s20154200.

Abstract

Software-Defined Networking (SDN) offers an abstract view of the network and assists network operators to control the network traffic and the associated network resources more effectively. For the past few years, SDN has shown a lot of merits in diverse fields of applications, an important one being the Wireless Body Area Network (WBAN) for healthcare services. With the amalgamation of SDN with WBAN (SDWBAN), the patient monitoring and management system has gained much more flexibility and scalability compared to the conventional WBAN. However, the performance of the SDWBAN framework largely depends on the controller which is a core element of the control plane. The reason is that an optimal number of controllers assures the satisfactory level of performance and control of the network traffic originating from the underlying data plane devices. This paper proposes a mathematical model to determine the optimal number of controllers for the SDWBAN framework in healthcare applications. To achieve this goal, the proposed mathematical model adopts the convex optimization method and incorporates three critical SDWBAN factors in the design process: number of controllers, latency and number of SDN-enabled switches (SDESW). The proposed analytical model is validated by means of simulations in Castalia 3.2 and the outcomes indicate that the network achieves high level of Packet Delivery Ratio (PDR) and low latency for optimal number of controllers as derived in the mathematical model.

摘要

软件定义网络 (SDN) 提供了网络的抽象视图,并帮助网络运营商更有效地控制网络流量和相关网络资源。在过去的几年中,SDN 在各个应用领域表现出了许多优点,其中一个重要的应用领域是用于医疗保健服务的无线体域网 (WBAN)。通过将 SDN 与 WBAN(SDWBAN)融合,与传统的 WBAN 相比,患者监测和管理系统获得了更高的灵活性和可扩展性。然而,SDWBAN 框架的性能在很大程度上取决于控制器,控制器是控制平面的核心元素。原因是控制器的最佳数量可以确保底层数据平面设备产生的网络流量的性能和控制达到令人满意的水平。本文提出了一种数学模型,用于确定医疗保健应用中 SDWBAN 框架的最佳控制器数量。为了实现这一目标,所提出的数学模型采用了凸优化方法,并在设计过程中纳入了三个关键的 SDWBAN 因素:控制器数量、延迟和支持 SDN 的交换机数量 (SDESW)。所提出的分析模型通过在 Castalia 3.2 中的模拟进行了验证,结果表明,网络在数学模型中得出的最佳控制器数量下实现了高分组投递率 (PDR) 和低延迟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00f5/7436120/871482ade39d/sensors-20-04200-g001.jpg

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