| 基于贝叶斯网络的无线Ad Hoc网络视频传输方法 |
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| 引用本文： | 蒋荣欣,田翔,谢立,陈耀武.基于贝叶斯网络的无线Ad Hoc网络视频传输方法[J].东南大学学报,2008,24(4). |
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| 作者姓名： | 蒋荣欣 田翔 谢立 陈耀武 |
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| 作者单位： | 浙江大学数字技术研究所,杭州310027 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，the Science and Technology Project of Zhejiang Province |
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| 摘 要： | 针对AdHoc网络的视频传输，提出了一种新的网络带宽预测及控制方案．该方案基于跨层、接收端反馈以及贝叶斯网络等技术．对视频传输过程进行公式化描述，从而推导出影响视频传输质量的几个主要因素，这些因素可以通过跨层机制或接收端反馈的方式获取．根据这些影响因素，确定变量集和贝叶斯网络拓扑结构，从而构建贝叶斯网络预测模型．预测结果作为AdHoc网络带宽，根据该带宽值来控制视频编码器，动态调节输出的实时视频流码率．为验证该方案，对整个视频通信系统进行了仿真．结果显示，跟传统的传输方案相比较，夺方案能更好地利用网络带宽，减少了数据包的丢失，提高了实时视频质量．
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| 关 键 词： | 无线自组织网络 贝叶斯网络 跨层 IEEE 802．11 实时视频流 |
Wireless ad hoc video transmission: a Bayesian network-based scheme |
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| Jiang Rongxin,Tian Xiang,Xie Li,Chen Yaowu.Wireless ad hoc video transmission: a Bayesian network-based scheme[J].Journal of Southeast University(English Edition),2008,24(4). |
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| Authors: | Jiang Rongxin Tian Xiang Xie Li Chen Yaowu |
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| Abstract: | A novel bandwidth prediction and control scheme is proposed for video transmission over an ad hoc network.The scheme is based on cross-layer,feedback, and Bayesian network techniques.The impacts of video quality are formulized and deduced.The relevant factors are obtained by a cross-layer mechanism or Feedback method.According to these relevant factors,the variable set and the Bayesian network topology are determined.Then a Bayesian network prediction model is constructed.The results of the prediction can be used as the bandwidth of the mobile ad hoc network (MANET).According to the bandwidth,the video encoder is controlled to dynamically adjust and encode the right bit rates of a real-time video stream.Integrated simulation of a video streaming communication system is implemented to validate the proposed solution.In contrast to the conventional transfer scheme,the results of the experiment indicate that the proposed scheme can make the best use of the network bandwidth;there are considerable improvements in the packet loss and the visual quality of real-time video. |
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| Keywords: | mobile ad hoc network (MANET) Bayesian network cross-layer IEEE 802 11 real-time video streaming |
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