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In the content distribution network (CDN) for the Internet of Vehicles (IoV), the excessive number of dynamic content resources cannot be cached which leads to poor acceleration effects or complete failure due to network congestion and severely affects user experience. To address this issue, we developed a content acceleration method based on the separation of dynamic and static content and protocol optimization. We applied content routing optimization in the application layer to separate dynamic and static content and accelerated the transmission of separated dynamic content using the Bottleneck Bandwidth and Round-trip propagation time (BBR) congestion control algorithm. By making corresponding improvements to BBR, the gain coefficient of BBR was calculated based on the packet loss rate to solve the problem of throughput cliff-like drop under high packet loss rates. This method overcomes the shortcomings of existing CDN for IoV in accelerating dynamic content. The developed method significantly improved the transmission performance of dynamic content, reduced data transmission delay, and enabled the high-speed distribution of dynamic content.

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Dynamic Content Acceleration for Internet of Vehicles Based on Protocol Optimization

  • 会议论文

  • 发表日期：

    2025年

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  • Tian Liu,
  • Lin Huangzhi,
  • Xu Yi,
  • Jiang Jianman,
  • Wu Chuanjie,
  • Liu Chang

摘要

In the content distribution network (CDN) for the Internet of Vehicles (IoV), the excessive number of dynamic content resources cannot be cached which leads to poor acceleration effects or complete failure due to network congestion and severely affects user experience. To address this issue, we developed a content acceleration method based on the separation of dynamic and static content and protocol optimization. We applied content routing optimization in the application layer to separate dynamic and static content and accelerated the transmission of separated dynamic content using the Bottleneck Bandwidth and Round-trip propagation time (BBR) congestion control algorithm. By making corresponding improvements to BBR, the gain coefficient of BBR was calculated based on the packet loss rate to solve the problem of throughput cliff-like drop under high packet loss rates. This method overcomes the shortcomings of existing CDN for IoV in accelerating dynamic content. The developed method significantly improved the transmission performance of dynamic content, reduced data transmission delay, and enabled the high-speed distribution of dynamic content.