基于电量状态的移动流媒体码率自适应策略  

Bitrate adaptive strategy of mobile streaming media based on battery state

作　　者：陈仁康 李泽平[1] 林川[1] 杨华蔚 薛杨上 王忠德[1] CHEN Ren-kang;LI Ze-ping;LIN Chuan;YANG Hua-wei;XUE Yang-shang;WANG Zhong-de(College of Computer Science and Technology,Guizhou University,Guiyang 550025,China;College of Big Data Application and Economics,Guizhou University of Finance and Economics,Guiyang 550025,China)

机构地区：[1]贵州大学计算机科学与技术学院,贵州贵阳550025 [2]贵州财经大学大数据应用与经济学院,贵州贵阳550025

出　　处：《计算机工程与设计》2022年第2期308-315,共8页Computer Engineering and Design

基　　金：国家自然科学基金项目(61462014);贵州省科学技术基金项目(S2017JP00401185093)。

摘　　要：为提升移动流媒体的用户体验质量(quality of experience,QoE)和设备续航时长,提出一种基于移动设备电量状态的QoE模型,模型的参数包括初始延迟、重新缓冲、平均视频质量、码率切换平滑度以及设备电量状态。在模型的基础上,给出一种基于网络吞吐量,同时又考虑设备电量状态的码率自适应策略。策略能避免客户端在设备剩余电量处于中、低状态时,请求高码率视频,导致过多的电池电量消耗。实验结果表明,该策略能有效平衡不同电量状态下用户对视频质量和设备续航的需求。To improve the quality of experience(QoE)and the device battery life of mobile streaming media,a QoE model based on the battery state of the mobile device was proposed.The parameters of the model included initial delay,re-buffering events,average video quality,smoothness of bitrate switching,and device battery status.On the basis of the model,a bitrate adaptation strategy based on network throughput while considering the battery status of the device was given.The strategy avoided the client from requesting a high bitrate video when the remaining battery of the device was in a medium or low state,causing excessive battery consumption.Experimental results show that the proposed strategy can effectively balance the user’s needs for video quality and device battery life under different battery states.

关 键 词：移动流媒体 动态自适应流媒体 用户体验质量 电量状态 码率控制 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]