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[1] Jiang Rongxin, Tian Xiang, Xie Li, Chen Yaowu, et al. Wireless ad hoc video transmission:a Bayesian network-based scheme [J]. Journal of Southeast University (English Edition), 2008, 24 (4): 407-413. [doi:10.3969/j.issn.1003-7985.2008.04.003]
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Wireless ad hoc video transmission:a Bayesian network-based scheme()
基于贝叶斯网络的无线Ad Hoc网络视频传输方法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
24
Issue:
2008 4
Page:
407-413
Research Field:
Information and Communication Engineering
Publishing date:
2008-12-30

Info

Title:
Wireless ad hoc video transmission:a Bayesian network-based scheme
基于贝叶斯网络的无线Ad Hoc网络视频传输方法
Author(s):
Jiang Rongxin Tian Xiang Xie Li Chen Yaowu
Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou 310027, China
蒋荣欣 田翔 谢立 陈耀武
浙江大学数字技术研究所, 杭州 310027
Keywords:
mobile ad hoc network(MANET) Bayesian network cross-layer IEEE 802.11 real-time video streaming
无线自组织网络 贝叶斯网络 跨层 IEEE 802.11 实时视频流
PACS:
TN915.43
DOI:
10.3969/j.issn.1003-7985.2008.04.003
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.
针对Ad Hoc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Ad Hoc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, 本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.

References:

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Memo

Memo:
Biographies: Jiang Rongxin(1982—), male, doctor;Chen Yaowu(corresponding author), male, doctor, professor, cyw@mail.bme.zju.edu.cn.
Foundation items: The National High Technology Research and Development Program of China(863 Program)(No.2003AA1Z2130), the Science and Technology Project of Zhejiang Province(No.2005C11001-02).
Citation: Jiang Rongxin, Tian Xiang, Xie Li, et al.Wireless ad hoc video transmission:a Bayesian network-based scheme[J].Journal of Southeast University(English Edition), 2008, 24(4):407-413.
Last Update: 2008-12-20