使用区块链技术的基于物联网雾的医疗4.0系统。

IF 2.5 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Journal of Supercomputing Pub Date : 2023-01-01 DOI:10.1007/s11227-022-04788-7
Israr Ahmad, Saima Abdullah, Adeel Ahmed
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引用次数: 6

摘要

由于雾计算、云计算和物联网(IoT)技术的发展,对患者健康状况的实时跟踪和监控在医疗保健领域变得无处不在。医疗物联网(MIoT)设备通常将健康数据传输到制药数据中心,在那里保存、评估并提供给相关利益相关者或用户。雾层已被用于通过提供快速响应时间和低延迟来提高基于物联网的医疗保健服务的可扩展性和灵活性。我们提出的解决方案侧重于同时管理重症和非重症患者的电子医疗保健系统。雾层分为临界雾团和非临界雾团两半。危重患者在关键雾群处理,快速响应,非关键患者在非关键雾群使用区块链技术处理,保护患者健康记录的隐私。建议的解决方案几乎不需要对当前的物联网生态系统进行修改,同时减少关键消息的响应时间并卸载云基础设施。云数据中心的存储需求减少,除了节省建设和运营费用外,还使用户受益。此外,我们检查了建议的工作,召回,准确性,精度和f分。结果表明,该方法在保留标准网络设置的同时成功地保护了隐私。此外,根据系统响应时间、掉包率、吞吐量、雾和云利用率对建议的系统和基准进行评估。评估结果清楚地表明,该系统的性能优于基准测试。
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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IoT-fog-based healthcare 4.0 system using blockchain technology.

Real-time tracking and surveillance of patients' health has become ubiquitous in the healthcare sector as a result of the development of fog, cloud computing, and Internet of Things (IoT) technologies. Medical IoT (MIoT) equipment often transfers health data to a pharmaceutical data center, where it is saved, evaluated, and made available to relevant stakeholders or users. Fog layers have been utilized to increase the scalability and flexibility of IoT-based healthcare services, by providing quick response times and low latency. Our proposed solution focuses on an electronic healthcare system that manages both critical and non-critical patients simultaneously. Fog layer is distributed into two halves: critical fog cluster and non-critical fog cluster. Critical patients are handled at critical fog clusters for quick response, while non-critical patients are handled using blockchain technology at non-critical fog cluster, which protects the privacy of patient health records. The suggested solution requires little modification to the current IoT ecosystem while decrease the response time for critical messages and offloading the cloud infrastructure. Reduced storage requirements for cloud data centers benefit users in addition to saving money on construction and operating expenses. In addition, we examined the proposed work for recall, accuracy, precision, and F-score. The results show that the suggested approach is successful in protecting privacy while retaining standard network settings. Moreover, suggested system and benchmark are evaluated in terms of system response time, drop rate, throughput, fog, and cloud utilization. Evaluated results clearly indicate the performance of proposed system is better than benchmark.

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来源期刊
Journal of Supercomputing
Journal of Supercomputing 工程技术-工程:电子与电气
CiteScore
6.30
自引率
12.10%
发文量
734
审稿时长
13 months
期刊介绍: The Journal of Supercomputing publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of all aspects of Supercomputing. Tutorial and survey papers are intended for workers and students in the fields associated with and employing advanced computer systems. The journal also publishes letters to the editor, especially in areas relating to policy, succinct statements of paradoxes, intuitively puzzling results, partial results and real needs. Published theoretical and practical papers are advanced, in-depth treatments describing new developments and new ideas. Each includes an introduction summarizing prior, directly pertinent work that is useful for the reader to understand, in order to appreciate the advances being described.
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