计算机科学 ›› 2018, Vol. 45 ›› Issue (10): 124-129.doi: 10.11896/j.issn.1002-137X.2018.10.024

• 网络与通信 • 上一篇    下一篇

基于传感器的移动流媒体码率控制方法

熊丽荣, 尤日晶, 金鑫   

  1. 浙江工业大学计算机科学与技术学院 杭州310023
  • 收稿日期:2018-03-18 出版日期:2018-11-05 发布日期:2018-11-05
  • 作者简介:熊丽荣(1973-),女,硕士,副教授,CCF会员,主要研究方向为服务计算、计算机网络、社交网络,E-mail:lilybear@zjut.edu.cn(通信作者);尤日晶(1992-),男,硕士生,主要研究方向为服务计算,E-mail:2111512145@zjut.edu.cn;金 鑫(1991-),男,硕士生,主要研究方向为服务计算,E-mail:449059895@qq.com。
  • 基金资助:
    浙江省重大科技专项重大工业基金项目(2012C11026-2),杭州市重大科技创新专项基金项目(20132011A16)资助

Sensor-based Adaptive Rate Control Method for Mobile Streaming

XIONG Li-rong, YOU Ri-jing, JIN Xin   

  1. College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Received:2018-03-18 Online:2018-11-05 Published:2018-11-05

摘要: 移动端视频流服务日益受到重视,智能终端码率自适应机制成为研究热点。当用户在移动端观看高清电影时需要消耗大量的网络流量,然而当用户不处于观影状态、对电影不感兴趣以及观看电影距离过远时,观看高清电影并不会给用户带来良好的体验,还会造成大量无线网络资源的浪费。文中设计了基于传感器的码率决策模型,综合考虑了用户观看位置、用户兴趣和设备状态。传感器决策模型可以优化传统的码率决策机制,因此设计了基于传感器的混合码率决策方法。实验证明,该方案在无线资源紧张的情况下能够有效节约无线网络的带宽资源。

关键词: 传感器, 多目标优化, 码率控制, 移动流媒体传输

Abstract: Mobile terminal video streaming service has been paid more and more attention,and intelligent terminal rate adaptation mechanism has become a research hotspot.It costs plenty of network traffic for the mobile users to watch high-definition movies.When users are not interested in the movies,or the terminals are far away from users,watching HD movies will not bring good experience and will waste a lot of wireless network traffic.This paper designed a sensor-based rate adaptive decision model,taking into account the users’ watching location,interests and equipment status.The sensor-based rate adaptive decision model can optimize the tranditional rate decision mechanism for designing sesor-based hybrid rate decision method.The experiments show that the proposed sensor-based rate adaption model can effectively save the wireless network bandwidth resources in the case of insufficient network bandwidth.

Key words: Mobile streaming media transmission, Multi-objective optimization, Rate adaption mechanism, Sensor

中图分类号: 

  • TP311
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