混合雾边缘计算架构,用于IoMT系统中的实时健康监控,具有优化的延迟和威胁恢复能力。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Umar Islam, Mohammed Naif Alatawi, Ali Alqazzaz, Sulaiman Alamro, Babar Shah, Fernando Moreira
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引用次数: 0

摘要

医疗物联网(IoMT)的进步通过实现实时健康监测,改变了医疗保健服务。然而,它引入了与延迟相关的关键挑战,更重要的是,安全处理敏感的患者数据。传统的基于云的体系结构经常受到延迟和数据保护的困扰,这使得它们在实时医疗保健场景中效率低下。为了应对这些挑战,我们提出了一种针对IoMT系统中有效实时健康监测量身定制的混合雾边缘计算架构。雾计算使处理时间关键型数据更接近数据源,减少响应时间并减轻云系统过载。同时,边缘计算节点使用基于规则的过滤、统计阈值和轻量级机器学习模型(如决策树和一类支持向量机)处理数据预处理并仅传输有价值的信息(定义为异常或高风险健康信号,如不规则心率或氧气水平)。这种选择性传输在不影响响应质量的情况下优化带宽。该体系结构集成了强大的安全措施,包括端到端加密和分布式身份验证,以应对IoMT网络中不断增加的数据泄露和未经授权的访问。实际案例场景和模拟用于验证模型,评估延迟减少、数据整合和可伸缩性。结果表明,所提出的架构明显优于纯云模型,延迟减少70%,能源效率提高30%,带宽节省60%。此外,威胁检测所需的时间减少了一半,确保更快地响应安全事件。该框架提供了灵活、安全和高效的解决方案,非常适合时间敏感的医疗保健应用程序,如远程患者监控和紧急响应系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitive patient data. Traditional cloud-based architectures often struggle with latency and data protection, making them inefficient for real-time healthcare scenarios. To address these challenges, we propose a Hybrid Fog-Edge Computing Architecture tailored for effective real-time health monitoring in IoMT systems. Fog computing enables processing of time-critical data closer to the data source, reducing response time and relieving cloud system overload. Simultaneously, edge computing nodes handle data preprocessing and transmit only valuable information-defined as abnormal or high-risk health signals such as irregular heart rate or oxygen levels-using rule-based filtering, statistical thresholds, and lightweight machine learning models like Decision Trees and One-Class SVMs. This selective transmission optimizes bandwidth without compromising response quality. The architecture integrates robust security measures, including end-to-end encryption and distributed authentication, to counter rising data breaches and unauthorized access in IoMT networks. Real-life case scenarios and simulations are used to validate the model, evaluating latency reduction, data consolidation, and scalability. Results demonstrate that the proposed architecture significantly outperforms cloud-only models, with a 70% latency reduction, 30% improvement in energy efficiency, and 60% bandwidth savings. Additionally, the time required for threat detection was halved, ensuring faster response to security incidents. This framework offers a flexible, secure, and efficient solution ideal for time-sensitive healthcare applications such as remote patient monitoring and emergency response systems.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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