一个神经模糊的多拓自适应路由框架,用于QoS意识的医疗保健物联网通信
M Shabana Parveen1, P T V Bhuvaneswari2
1Department of Electronics and Communication Engineering, Sri Sairam Engineering College, Chennai, 600044, Tamil Nadu, India. mparwin19@gmail.com.
Scientific reports
|December 26, 2025
概括
这项研究引入了一种新的神经模糊自适应路由方法,以提高医疗保健物联网网络的可靠性. NF-MTAR方法增强了数据传输,以改善远程患者监测和干预系统.
科学领域:
- 物联网 (IoT) 在医疗保健中的应用
- 网络路由协议 网络路由协议
- 无线传感器网络 无线传感器网络
背景情况:
- 由于网络条件和流量,医疗保健物联网网络面临可靠性挑战.
- 这些问题影响远程医疗保健应用程序的性能,影响患者安全和临床有效性.
- 现有的路由方法在动态的医疗环境中努力优化服务质量 (QoS) 和稳定性.
研究的目的:
- 提出一种新的神经模糊多拓适应路由 (NF-MTAR) 方法,以提高医疗保健物联网网络可靠性.
- 基于实时网络条件和流量特征,动态优化网络资源.
- 提高远程医疗保健应用的性能,包括持续监测和干预系统.
主要方法:
- 神经模糊智能与多拓虚拟分区的集成,以实现动态资源优化.
- 开发一个神经模糊搜索引擎,考虑流量强度,资源利用,剩余能量,链接质量和节点连接.
- 实现虚拟软件定义网络 (V-SDN) 用于多拓虚拟分区 (圆,线性,随机) 来处理同时的关键流量.
主要成果:
- 实现了94.3%的高吞吐量,并将端到端延迟降低到18.4ms.
- 提高了31.2%的能源效率,并将网络寿命延长了42.8%.
- 证明了高网络可靠性,达到99.8%,超过了最先进的方法.
结论:
- 拟议的NF-MTAR方法显著提高了医疗保健物联网网络的可靠性和性能.
- NF-MTAR为下一代医疗监测和干预系统提供了强大的解决方案.
- 通过神经模糊逻辑和多拓路由进行动态优化对于可靠的医疗保健物联网应用程序至关重要.
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