能源意识的集群头部优化和安全的区块链集成,用于异质的6G支持的IoMT网络
R Yuvarani1, R Mahaveerakannan1, Tamilvizhi Thanarajan2
1Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Scientific reports
|August 16, 2025
概括
本研究介绍了针对6G医疗物联网 (IoMT) 网络的优化区块链框架,以提高能源效率和安全性. 这种新的方法显著改善了网络寿命,并减少了医疗数据传输的延迟.
科学领域:
- 电信工程 电信工程 电信工程
- 网络安全 网络安全
- 医疗保健中的人工智能
背景情况:
- 支持6G的医疗物联网 (IoMT) 网络提供安全,分散的通信,但在能源效率,延迟和身份验证方面面临挑战.
- 当前的集群和安全方法在异质的IoMT环境中努力平衡这些关键方面.
研究的目的:
- 为6G IoMT网络提出一个新的能源意识的集群头部选择框架.
- 用轻量级的区块链层和先进的优化算法来增强网络安全,数据完整性和运营效率.
主要方法:
- 开发了一种人工民主光雷莫拉优化 (ADCGRO) 算法,用于能量意识的集群头部选择.
- 集成了一个轻量级的区块链层,用于安全的身份验证,并确保IoMT网络内的数据完整性.
- 在多种IoMT设备 (高级,中级,普通) 中优化任务分配,以尽量减少能源消耗,同时满足URLLC要求.
主要成果:
- 拟议的基于ADCGRO的区块链框架显示,网络寿命增长了27%.
- 实现了35%的平均网络延迟降低,这对于实时医疗应用至关重要.
- 实现了99%的身份验证准确性,显著优于LEACH和HEED等现有协议.
结论:
- 集成ADCGRO优化与区块链有效地解决了6G IoMT网络中的性能和安全挑战.
- 拟议的框架为下一代医疗物联网系统的安全,高效和低延迟通信提供了可行的解决方案.
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