基于公交场景的视频系统性能研究及应用设计

发布时间：2018-11-01 18:19

【摘要】：随着通信技术的发展,电信网络、有线电视网络和计算机网络相互渗透、相互兼容、整合成为统一的信息通信网络,4G,4.5G以及要部署的5G所提供的丰富带宽为多媒体交互及其增值业务带来巨大的市场。视频播放系统从传统的电视广播系统到大量兴起使用的移动互联网视频直播点播,快速的信息传播,无间断的信息获取,更具现场感的体验,通信业源于技术的革新不仅逐渐改变着商业模式,也改变了人们的行为模式。基于移动互联网的视频播放成为流量交互的主战场,各式各样的视频应用如雨后春笋,出现在各大应用平台,以公交车为主体的场景作为一块典型的市场,拥有着体量大和互联网联系紧密化的特点。本文对城市公交场景下基于云播的视频播放系统进行了研究分析,首先,概述了广播电视系统及移动视频播放,对流媒体传输的技术原理进行了介绍,在对流媒体传输的基础上,设计了基于云播的视频播放应用;其次,进行了应用的资源部署分析,对公交场景的车载市场进行了分析,基于对城市公交保有量的估计建立了资源部署的模型,在此模型下推出了带宽资源估计函数,根据拓扑及网格计算的思路推导出了一种边缘CDN的规划部署方案;再次,在对云播及PSO算法研究的基础上,提出了一种改进的PSO算法,算法中提出了一种自适应权重计算的方式以及丰富种群进行粒子改革,在cloudsim下仿真,相比标准的PSO算法,更为高效;最后,对移动环境下,流式传输的性能进行了 OPNET仿真分析,在仿真分析中,分析了距离、越区、移速、视频传输的码率、编码方式对流传输的丢包率、时延性的影响,基于分析提出了性能提升建议。
[Abstract]:With the development of communication technology, telecommunication network, cable television network and computer network permeate each other, compatible with each other, and integrate into a unified information and communication network. The rich bandwidth provided by 4.5G and 5G to be deployed brings a huge market for multimedia interaction and value-added services. Video playback system from the traditional television broadcasting system to a large number of mobile Internet live video on demand, rapid information dissemination, uninterrupted information acquisition, a more on-site experience, The technological innovation in the communication industry not only changes the business model, but also changes the behavior pattern of people. Video playback based on mobile Internet has become the main battlefield of traffic interaction. All kinds of video applications have sprung up in various application platforms, with the bus as the main scene as a typical market. With a large volume and the Internet is closely linked to the characteristics of the. In this paper, the video playback system based on cloud broadcasting in urban public transport scene is studied and analyzed. Firstly, the broadcast television system and mobile video play are summarized, and the technical principle of streaming media transmission is introduced. On the basis of streaming media transmission, a video playback application based on cloud broadcasting is designed. Secondly, the applied resource deployment analysis is carried out, and the on-board market of the bus scene is analyzed. Based on the estimation of the urban public transport quantity, the resource deployment model is established, and the bandwidth resource estimation function is derived under this model. According to the idea of topology and grid computing, a planning and deployment scheme of edge CDN is deduced. Thirdly, on the basis of the research on cloud broadcasting and PSO algorithm, an improved PSO algorithm is proposed. In the algorithm, an adaptive weight calculation method and particle reform of rich population are proposed, and the simulation results under cloudsim are compared with the standard PSO algorithm. More efficient; Finally, the performance of streaming transmission in mobile environment is analyzed by OPNET simulation. In the simulation analysis, the influence of distance, speed, bit rate of video transmission, packet loss rate of encoding mode convection transmission, and time delay are analyzed. Based on the analysis, suggestions for performance improvement are put forward.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN948.6

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