一个安全的远程患者监测框架,用于IoMT生态系统
Pronaya Bhattacharya1, Anwesha Mukherjee2, Bharat Bhushan3
1Department of Computer Science and Engineering, Amity School of Engineering and Technology, and Research and Innovation Cell, Amity University, Kolkata, West Bengal, India.
Scientific reports
|July 2, 2025
概括
DeW-IoMT框架通过将计算更接近边缘,减少延迟和能源使用来增强远程患者监控. 这种新的方法可以提高数据安全性,并在网络中断期间确保关键服务.
科学领域:
- 医疗事物的互联网 (IoMT)
- 边缘计算 边缘计算
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 现有的远程患者监控依赖于云处理,导致高延迟和能源使用,特别是在间歇性连接的情况下.
- 需要更接近数据源 (边缘) 的实时,安全和隐私支持的IoMT计算.
研究的目的:
- 提出DeW-IoMT框架,结合一层露水层和一层新的屋顶计算层,以增强IoMT.
- 为了提高数据安全性,减少通信延迟,并在IoMT系统中断开操作期间启用关键服务.
主要方法:
- 在屋顶-雾-云架构中实现了露水层与屋顶计算中介.
- 使用脉冲传感器测量心率,用于远程监测患者.
- 实验分析了响应时间,能量消耗和带宽;使用iFogSim.Sim模拟雾层性能.
主要成果:
- 露水层减少了74.61%的响应时间和38.78%的能源消耗.
- 与以云为中心的模型相比,任务数据减少了33.56%.
- 在露水层表现出关键性能指标的显著改进.
结论:
- DeW-IoMT框架有效地解决了远程患者监控中的延迟和能源消耗挑战.
- 拟议的架构增强了安全性,并确保了可扩展的IoMT环境中的服务连续性.
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