基于公交場(chǎng)景的視頻系統(tǒng)性能研究及應(yīng)用設(shè)計(jì)
發(fā)布時(shí)間:2018-11-01 18:19
【摘要】:隨著通信技術(shù)的發(fā)展,電信網(wǎng)絡(luò)、有線電視網(wǎng)絡(luò)和計(jì)算機(jī)網(wǎng)絡(luò)相互滲透、相互兼容、整合成為統(tǒng)一的信息通信網(wǎng)絡(luò),4G,4.5G以及要部署的5G所提供的豐富帶寬為多媒體交互及其增值業(yè)務(wù)帶來巨大的市場(chǎng)。視頻播放系統(tǒng)從傳統(tǒng)的電視廣播系統(tǒng)到大量興起使用的移動(dòng)互聯(lián)網(wǎng)視頻直播點(diǎn)播,快速的信息傳播,無間斷的信息獲取,更具現(xiàn)場(chǎng)感的體驗(yàn),通信業(yè)源于技術(shù)的革新不僅逐漸改變著商業(yè)模式,也改變了人們的行為模式;谝苿(dòng)互聯(lián)網(wǎng)的視頻播放成為流量交互的主戰(zhàn)場(chǎng),各式各樣的視頻應(yīng)用如雨后春筍,出現(xiàn)在各大應(yīng)用平臺(tái),以公交車為主體的場(chǎng)景作為一塊典型的市場(chǎng),擁有著體量大和互聯(lián)網(wǎng)聯(lián)系緊密化的特點(diǎn)。本文對(duì)城市公交場(chǎng)景下基于云播的視頻播放系統(tǒng)進(jìn)行了研究分析,首先,概述了廣播電視系統(tǒng)及移動(dòng)視頻播放,對(duì)流媒體傳輸?shù)募夹g(shù)原理進(jìn)行了介紹,在對(duì)流媒體傳輸?shù)幕A(chǔ)上,設(shè)計(jì)了基于云播的視頻播放應(yīng)用;其次,進(jìn)行了應(yīng)用的資源部署分析,對(duì)公交場(chǎng)景的車載市場(chǎng)進(jìn)行了分析,基于對(duì)城市公交保有量的估計(jì)建立了資源部署的模型,在此模型下推出了帶寬資源估計(jì)函數(shù),根據(jù)拓?fù)浼熬W(wǎng)格計(jì)算的思路推導(dǎo)出了一種邊緣CDN的規(guī)劃部署方案;再次,在對(duì)云播及PSO算法研究的基礎(chǔ)上,提出了一種改進(jìn)的PSO算法,算法中提出了一種自適應(yīng)權(quán)重計(jì)算的方式以及豐富種群進(jìn)行粒子改革,在cloudsim下仿真,相比標(biāo)準(zhǔn)的PSO算法,更為高效;最后,對(duì)移動(dòng)環(huán)境下,流式傳輸?shù)男阅苓M(jìn)行了 OPNET仿真分析,在仿真分析中,分析了距離、越區(qū)、移速、視頻傳輸?shù)拇a率、編碼方式對(duì)流傳輸?shù)膩G包率、時(shí)延性的影響,基于分析提出了性能提升建議。
[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.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN948.6
[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.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN948.6
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