塔斯马尼亚恶魔优化 (TDWO) 已在5G网络中引入用于安全的视频传输
1Department of Information Engineering, Fuzhou Polytechnic, Fuzhou, China.
PloS one
|August 18, 2025
概括
一个新的塔斯马尼亚恶魔优化 (TDWO) 算法增强了5G网络中安全的视频传输. 这种方法改善了资源分配,确保了更好的数据速率和对动态威胁的质量.
科学领域:
- 计算机科学 计算机科学
- 电信工程 电信工程 电信工程
- 网络安全 网络安全
背景情况:
- 随着网络和蜂网络的扩张,安全的多媒体传输至关重要.
- 目前的第五代 (5G) 网络提供解决方案,但缺乏针对动态窃听和专利侵权的强大安全性.
- 现有的资源分配方法用于5G中安全的视频传输,需要加强全面的安全性.
研究的目的:
- 引入一种新的资源分配算法,塔斯马尼亚恶魔优化 (TDWO),用于5G网络的安全视频传输.
- 加强视频安全,防止动态窃听者和专利污染.
- 使用数据速率,可实现的数据速率和体验质量 (QoE) 等参数优化资源配置.
主要方法:
- 塔斯马尼亚恶魔优化 (TDWO) 算法被提议用于5G网络中的资源配置.
- 录制的教育视频被用作传输数据.
- 一个深度卷积神经网络 (DCNN) 模型用于预测体验质量 (QoE).
主要成果:
- 在安全视频传输的资源分配方面,TDWO算法表现出显著的性能.
- 实现了25.557 Mbps 的吞吐量.
- 报告的比特错误率 (BER) 为0.021,QoE为18.332,适应性值为0.013.
结论:
- 在5G网络中,TDWO算法为安全的视频传输提供了有效的解决方案.
- 为 QoE 预测集成 DCNN 增强了资源分配策略.
- 实验结果验证了TDWO模型在提高吞吐量,BER,QOE和整体适应性方面的优势.
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