设计边缘-IoMT网络架构与基于权重的调度
Li-Min Tseng1, Ping-Feng Chen1, Chih-Yu Wen1,2,3
1Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
这项研究引入了使用医疗物联网 (IoMT) 监测人口健康的自主网络. 拟议的架构减少了数据延迟和动,提高了身体区域网络的效率.
科学领域:
- 生物医学工程 生物医学工程
- 计算机科学 计算机科学
- 网络工程 网络工程
背景情况:
- 人口健康监测对于改善医疗保健至关重要.
- 医疗物联网 (IoMT) 为远程健康数据收集提供了一个有前途的平台.
- 现有的网络架构面临着实时生理信号传输的可扩展性和效率方面的挑战.
研究的目的:
- 开发一个自主,可扩展和高效的网络架构,使用IoMT.使用人口健康监测.
- 优化对生理信号的数据收集,转发和传输调度.
- 为了提高能源消耗,减少网络延迟和动.
主要方法:
- 设计了一个带有集群拓的分布式网络架构.
- 继电节点被用于信息转发.
- 应用了基于边缘计算,数据压缩和权重公平排队 (WFQ) 的调度算法.
- 网络性能与现有机制 (如低延迟队列) 相比进行了评估.
主要成果:
- 与LLQ相比,提出的基于WFQ的算法减少了约40%的延迟和19.47%的动.
- 新型网络拓学证明了比直接路径传输更高的能效.
- 该架构支持自我组织的人口健康监测.
结论:
- 开发的自主网络架构显著提高了基于IoMT的人口健康监测的效率和可扩展性.
- 拟议的调度算法有效地减少了对生理信号传输的延迟和动.
- 这种方法为利用身体区域网络改进的医疗应用铺平了道路.
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