E-Health Communication System with Multiservice Data Traffic Evaluation Based on a G/G/1 Analysis Method

Hani H. Attar, M. Khosravi, Shmatkov Sergiy Igorovich, Kuchuk Nina Georgievan, Mohammad Alhihi
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引用次数: 10

Abstract

Multi-Service Streams Network (MSSN) has become such a popular technique in modern applications including, medical fields for E-health applications, such as medical systems and patient monitoring network systems. Recent E-health researches intend to compare MSSN data communications with traditional methods such as on the internet. Based on the above-mentioned fact, the proposed work in this paper is directed to obtain detailed analysis of the MSSN applied over E-health, using the G/G/1 analysis method, including traffic probabilistic-time characteristics to establish its self-similar processes. Moreover, the paper proposes the purpose of estimating the queue service efficiency and overload management by the essential criterion, which takes into account the time delay, time jitter, and the packet loss probability expected in the E-health applications. Based on the necessary standard for the proposed uses, the results of queue operations and also relevant buffer space algorithms are evaluated. Moreover, the estimated qualitative measurement of the network development for the proposed model is obtained and compared with the most common techniques adapted in E-health applications. The collected results show that MSSN is an applicable technique to be applied over the E-health applications mainly on its excellent time delay, jitter, packet losses probability and others. The main aim of this paper is to obtain a full detailed analysis on the MSSN that is applied over E-health applications, using the mass service capacity for the mathematical model class G/G/1 in the most general case of a single-channel system.
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基于G/G/1分析方法的多业务数据流量评估电子健康通信系统
多业务流网络(MSSN)已经成为一种流行的技术,在现代应用包括医疗领域的电子健康应用,如医疗系统和病人监护网络系统。最近的电子卫生研究打算将msn数据通信与传统方法(如在互联网上)进行比较。基于上述事实,本文提出的工作旨在使用G/G/1分析方法,包括流量概率时间特征,以建立其自相似过程,对应用于电子卫生保健的MSSN进行详细分析。在此基础上,提出了基于基本准则的队列服务效率评估和过载管理的目的,该准则考虑了电子医疗应用中预期的时间延迟、时间抖动和丢包概率。基于所提出的使用的必要标准,对队列操作的结果以及相关的缓冲空间算法进行了评估。此外,对所提出的模型的网络发展进行了估计的定性测量,并与电子卫生应用中最常见的技术进行了比较。收集的结果表明,MSSN具有优良的时延、抖动、丢包概率等优点,是一种适用于电子医疗应用的技术。本文的主要目的是在单通道系统的最一般情况下,使用数学模型类G/G/1的大规模服务能力,对应用于电子卫生应用的MSSN进行全面详细的分析。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
18
审稿时长
>12 weeks
期刊介绍: In recent years a breakthrough has occurred in our understanding of the molecular pathomechanisms of human diseases whereby most of our diseases are related to intra and intercellular communication disorders. The concept of signal transduction therapy has got into the front line of modern drug research, and a multidisciplinary approach is being used to identify and treat signaling disorders. The journal publishes timely in-depth reviews, research article and drug clinical trial studies in the field of signal transduction therapy. Thematic issues are also published to cover selected areas of signal transduction therapy. Coverage of the field includes genomics, proteomics, medicinal chemistry and the relevant diseases involved in signaling e.g. cancer, neurodegenerative and inflammatory diseases. Current Signal Transduction Therapy is an essential journal for all involved in drug design and discovery.
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