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A priority aware buffer management scheme for H.264 video over MANET.

机译:MANET上用于H.264视频的优先级感知缓冲区管理方案。

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摘要

Video is bandwidth hungry and delay-sensitive and the compressed video bit stream is very sensitive to packet losses. The transmission of compressed video over the mobile ad hoc networks (MANETs) is very challenging due to the limited bandwidth resources and error-prone channels. It is therefore important to reduce the packet loss by intelligently handling the video traffic.;In this thesis, we use a routing protocol, known as the Ad Hoc On Demand Multipath Distance Vector Routing Protocol with Dynamic Path Update (AOMDV-DPU) which is an extension of AOMDV. AOMDV-DPU emphasizes on maintaining the secondary paths to the destination along with the primary route so that a back-up route can be used in case of the failure of the primary route.;We propose a buffer management scheme, called Smart Queuing technique that intelligently sorts the H.264/AVC compressed video packets in the buffer according to their priority. As a result, the higher priority packets do not have to wait longer or expire in the queue to get the channel access. The purpose of the scheme is to serve the higher priority packets better than the lower priority packets thereby increasing the goodput of the network. The routing protocol is integrated with the Smart Queue to serve the higher priority packets and hence increase the quality of the video transmission.
机译:视频对带宽很饿并且对延迟敏感,而压缩的视频比特流对丢包非常敏感。由于有限的带宽资源和容易出错的信道,在移动自组织网络(MANET)上传输压缩视频非常具有挑战性。因此,重要的是通过智能地处理视频流量来减少数据包丢失。;在本文中,我们使用了一种路由协议,称为具有动态路径更新的Ad Hoc On Demand多路径距离矢量路由协议(AOMDV-DPU),它是AOMDV的扩展。 AOMDV-DPU强调与主路径一起维护到达目的地的辅助路径,以便在主路径发生故障的情况下可以使用备用路径。;我们提出了一种称为智能排队技术的缓冲区管理方案根据H.264 / AVC压缩视频数据包的优先级对它们进行智能排序。结果,优先级较高的数据包不必等待更长的时间或在队列中过期就可以访问通道。该方案的目的是为较高优先级的数据包提供比较低优先级的数据包更好的服务,从而提高网络的吞吐量。路由协议与Smart Queue集成在一起,可为更高优先级的数据包提供服务,从而提高了视频传输的质量。

著录项

  • 作者

    Madpur, Abhishek Ravindra.;

  • 作者单位

    San Diego State University.;

  • 授予单位 San Diego State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2014
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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