Queue-Based Analytical Modeling for Capacity Estimation of Wearable eHealth Systems

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-02-18 DOI:10.1109/TNSE.2025.3543376

Nidhi Pathak;Anandarup Mukherjee;Sudip Misra

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引用次数: 0

Abstract

The heterogeneity in IoT-based health monitoring devices and communication protocols leads to diverse system designs and configurations resulting in uncertain outcomes. Most present-day eHealth approaches focus on optimizing the performance of already designed systems (hardware, network, and software) rather than optimizing the system design itself. A reliable eHealth monitoring system must use appropriate protocols and hardware to avoid data loss and delays. Identifying the magnitude of performance changes when integrating new devices into an already functional eHealth system is also critical. This work addresses these issues by adopting a queuing theory-based analytical model to characterize an eHealth wearable system. This approach acts as a guiding framework for system and network capacity estimation by simulating the dynamics of an eHealth wearable system with selected communication protocols before deployment. The simulation tool identifies the system's limits in terms of delays, the number of simultaneously supported wearables, and packet loss. We identify and examine some well-known wireless connectivity protocols as possible candidates for eHealth wearable systems. The output of the analytical model is compared vis-à-vis data from a real-life proof-of-concept eHealth wearable system. The proposed approach estimates the numbers of served packets and blocked packets with approximate errors of 0.02% and 0.2%, respectively.

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基于队列的可穿戴电子健康系统容量估计分析模型

基于物联网的健康监测设备和通信协议的异质性导致系统设计和配置的多样性，从而导致不确定的结果。大多数当前的电子健康方法侧重于优化已经设计的系统（硬件、网络和软件）的性能，而不是优化系统设计本身。一个可靠的电子健康监测系统必须使用适当的协议和硬件来避免数据丢失和延迟。在将新设备集成到已具备功能的电子卫生系统中时，确定性能变化的幅度也至关重要。这项工作通过采用基于排队论的分析模型来表征电子健康可穿戴系统来解决这些问题。该方法通过在部署前模拟具有选定通信协议的eHealth可穿戴系统的动态，作为系统和网络容量估计的指导框架。仿真工具确定了系统在延迟、同时支持的可穿戴设备数量和数据包丢失方面的限制。我们确定并研究了一些知名的无线连接协议，作为电子健康可穿戴系统的可能候选人。分析模型的输出与-à-vis来自现实生活中的概念验证电子健康可穿戴系统的数据进行比较。该方法估计服务数据包和阻止数据包的数量，误差分别约为0.02%和0.2%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.