在5G传感器网络设备中优化视觉物联网用于视频流增强
Anil Kumar Budati1, Shayla Islam1, Mohammad Kamrul Hasan2
1Institute of Computer Science & Digital Innovations, UCSI University, Kuala Lumpur 56000, Malaysia.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究引入了视觉物联网 (VIoT) 视频传输的新框架,通过使用KNN-H.265协议减少数据包丢失和提高吞吐量来提高体验质量 (QoE).
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络化 网络化 网络化
背景情况:
- 视觉物联网 (VIoT) 部署面临诸如勾结和缓冲延迟等挑战,原因是数据包丢失和网络拥堵.
- 现有研究强调了数据包丢失对各种应用程序的体验质量 (QoE) 的影响.
研究的目的:
- 为VIoT系统提出一种新的无损视频传输框架.
- 解决VIoT网络应用中的数据包丢失和网络拥堵问题.
- 提高视频视频通信中的体验质量 (QoE).
主要方法:
- 开发了一个新的框架,将K-Nearest Neighbors (KNN) 分类器与H.265视频压缩协议集成在一起.
- 该框架在拥挤条件下通过无线传感器网络传输加密静态图像进行了测试.
- 在 MATLAB 2018a.中使用像数,延迟,吞吐量,数据包丢失比率和峰值信号对噪声比率 (PSNR) 等指标来评估性能.
主要成果:
- 拟议的KNN-H.265协议与传统的H.264和H.265协议相比显示出更高的性能.
- 新的框架实现了比现有方法高出4%和6%的峰值信号与噪声比率 (PSNR) 值.
- 通过拟议的VIoT视频传输框架观察到更好的吞吐量.
结论:
- 拟议的KNN-H.265框架有效地减少了VIoT视频对话中的数据包丢失.
- 这种方法为VIoT应用提供了显著的视频传输质量和效率的改善.
- 该研究提供了一种可行的解决方案,用于在拥挤的VIoT网络中增强QoE.
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