医疗保健应用服务中双优先级队列动态波长和带宽分配算法

A. Valkanis, Petros Nicopolitidis, G. Papadimitriou, Dimitrios N. Kallergis, C. Douligeris, P. Bamidis
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引用次数: 0

摘要

开发医疗应用程序的目的是为病人和有关医护人员提供更好的服务。此升级可以改善医疗保健单位的关键性能参数,例如缩短治疗时间并节省材料和人力资源。这些最先进的应用,包括触觉互联网(TI)医疗,对支持它们的通信网络有很高的要求,以确保所需的服务质量(QoS)。医疗保健单位的网络基础设施也需要升级,以跟上它必须能够支持的应用程序的发展。在医疗保健环境中安装无源光网络(PON)是升级其电信基础设施的最佳选择。PONs性能的一个重要参数是其资源在时间域和频域的有效分配,而负责上述操作的实体是动态波长和带宽分配(DWBA)算法。本文针对医疗环境提出了一种专门设计的DWBA算法,保证了网络资源的公平高效分配,从而满足了各类医疗应用所需的QoS。仿真结果表明,与文献中的其他知名方案相比,在医疗保健环境中实现所提出的算法改善了与所提供的QoS相关的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Double per Priority Queue Dynamic Wavelength and Bandwidth Allocation Algorithm in Healthcare Applications Service
The development of medical applications aims to upgrade the provision of services to patients and the healthcare staff involved. This upgrade can improve critical performance parameters of healthcare units such as reducing treatment time and saving both material and human resources. These state of the art applications, which include the Tactile Internet (TI) medical, have very high requirements from the communications network that supports them in order to ensure the required quality of services (QoS). The network infrastructure of healthcare units in turn needs to be upgraded in order to follow the evolution of the applications it must be able to support. Installing passive optical networks (PON) in healthcare environments is the best option for upgrading their telecommunication infrastructure. An important parameter for the performance of PONs is the effective allocation of their resources both in time and in frequency domain, with the entity responsible for the above operation to be the dynamic wavelength and bandwidth allocation (DWBA) algorithm. In this paper, we present a specially designed DWBA algorithm for healthcare environments that ensures the fair and efficient distribution of network resources, thus satisfying the required QoS to all categories of medical applications. The results of the simulation reveal that the implementation of the proposed algorithm in healthcare environments improves the metrics concerning the QoS provided, compared to others well known schemes from the literature.
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