通过雾和云计算集成提高远程医疗的能源效率 物联网系统:模拟研究 模拟研究
Yunyong Guo1, Sudhakar Ganti1, Yi Wu1
1Computer Science Department, University of Victoria, Victoria, BC, Canada.
JMIR biomedical engineering
|June 14, 2024
概括
本研究介绍了远程医疗物联网 (IoT) 设备的新模型,集成雾和云计算以提高能源效率和数据处理. 这种创新方法在医疗信息学方面显示出了显著的能源节约.
科学领域:
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
- 物联网的物联网,就是物联网.
背景情况:
- 医疗保健中远程医疗物联网 (IoT) 设备的日益使用引发了对能源消耗和数据处理效率的担忧.
- 需要优化解决方案来管理连接卫生系统中的资源需求.
研究的目的:
- 引入一个创新的模型,将远程医疗物联网与雾和云计算相结合.
- 提高远程医疗物联网系统的能源效率和数据处理能力.
主要方法:
- 拟议的模型使用适应性节能策略和局部雾节点.
- 混合云基础设施用于分布式数据处理.
- 进行模拟分析以评估模型的有效性.
主要成果:
- 模拟显示,通过自适应节能策略,能耗减少2%.
- 该模型有效地提高了远程医疗物联网场景中的数据处理效率.
- 通过模拟样本大小为10-40来确保统计的稳定性.
结论:
- 拟议的模型成功地解决了远程医疗物联网中的能源和数据处理挑战.
- 雾计算和混合云基础设施的整合可以大大节省能源.
- 未来的研究将为更广泛的医疗保健和工业应用改进节能模型.
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