基于信息中心5G车联网中社会感知的流媒体缓存与转发策略

曹腾飞; 江翠丽; 刘志强; 王晓英

doi:10.11959/j.issn.1000-0801.2019297

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基于信息中心5G车联网中社会感知的流媒体缓存与转发策略

研究与开发 | 更新时间：2024-06-05

- 基于信息中心5G车联网中社会感知的流媒体缓存与转发策略
- Social-aware caching and forwarding for video streaming in information-centric 5G VANET
- 电信科学 2019年35卷第12期页码：90-98
- 作者机构：
- 作者简介：
  
  [ "曹腾飞（1987- ），男，博士，青海大学讲师，主要研究方向为5G智能网络优化" ]
  [ "江翠丽（1995- ），女，青海大学硕士生，主要研究方向为边缘计算" ]
  [ "刘志强（1981- ），男，青海大学计算机技术与应用系副主任，主要研究方向为虚拟现实" ]
  [ "王晓英（1982- ），女，博士，青海大学副校长、教授，主要研究方向为并行计算" ]
- 基金信息：
  
  青海省应用基础研究计划资助项目;National Natural Science Foundation of Qinghai Province(2019-ZJ-7034);青海大学实验教育教学研究项目;Experimental Education Teaching Research Project of Qinghai University(SY20907);国家自然科学基金资助项目;The National Natural Science Foundation of China(61762074)
- DOI：10.11959/j.issn.1000-0801.2019297
  中图分类号： TP393.4
- 网络出版日期：2019-12，
  
  纸质出版日期：2019-12-20
- 稿件说明：
移动端阅览
曹腾飞, 江翠丽, 刘志强, 等. 基于信息中心5G车联网中社会感知的流媒体缓存与转发策略[J]. 电信科学, 2019,35(12):90-98.

Tengfei CAO, Cuili JIANG, Zhiqiang LIU, et al. Social-aware caching and forwarding for video streaming in information-centric 5G VANET[J]. Telecommunications science, 2019, 35(12): 90-98.
曹腾飞, 江翠丽, 刘志强, 等. 基于信息中心5G车联网中社会感知的流媒体缓存与转发策略[J]. 电信科学, 2019,35(12):90-98. DOI： 10.11959/j.issn.1000-0801.2019297.

Tengfei CAO, Cuili JIANG, Zhiqiang LIU, et al. Social-aware caching and forwarding for video streaming in information-centric 5G VANET[J]. Telecommunications science, 2019, 35(12): 90-98. DOI： 10.11959/j.issn.1000-0801.2019297.

摘要

5G 通信技术的到来为车载自组网（VANET）提供高质量的视

频流服务奠定了基础。然而，现有的VANET 仍然采用以主机通信而非内容分发的 IP 网络来分发视频数据，造成了网络功能与设计目标之间的不匹配，为提供高质量的视频服务带来了巨大挑战。基于上述问题，提出了一种以信息为中心的社会感知流媒体缓存和转发策略（SACF），其时间复杂度为O(m

)。首先，通过分析用户节点的行为构建社会感知的虚拟社区；然后，提出了一种视频快速转发机制来支持用户就近获取视频内容；最后，提出了一种基于社区的缓存策略来优化视频的缓存分布。仿真实验结果表明，与最新的解决方案相比，该算法的缓存命中率提高了18%，查找时延降低了33%，平均网络开销减少了14.6%。

Abstract

The arrival of 5G-enabled communication technology has laid the foundation for providing high-quality video stream services in vehicular Ad Hoc network (VANET).However

current VANET still distribute video content over IP networks which design for host communication instead of content distribution.The mismatch between network function and design goals brings huge challenges for providing high quality video service.Based on the above questions

a social-aware caching and forwarding was proposed to support efficient video streaming services and the time complexity of the algorithm was O(m

).Firstly

a virtual community was constructed by analyzing the user's behaviors.Then

a fast forwarding scheme was introduced to ensure that users could discover the requested videos nearby.Finally

a community-based caching policy was proposed to optimize the in-community caching distributions.Simulation results show how the proposed strategy achieves better performance than other state-of-art solutions in terms of caching hit ratio

searching delay and control overhead.

关键词

Keywords

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