期刊文献+

一种多区域多目标优化的应急广播流媒体直播算法

A Live Media Streaming Algorithm in Emergency Broadcast based on Multi-region and Multi-Target Optimization
下载PDF
导出
摘要 针对当前应急广播采用短信转发、话筒语音等直播方式存在操作灵敏度差、使用不便、延迟长等问题,建立手机与广播终端之间的流媒体直播优化模型,提出一种多区域多目标优化的应急广播流媒体直播算法。该算法采用数据分片在节点的缓存时间进行等间隔划分,利用人员级别与等待时间为权重作为马尔可夫链转移概率参数,竞争下一时刻分发任务窗口,确定终端执行广播顺序。经过数据仿真测试验证了该算法在最优情况下,响应时间控制在10 s内,播放延迟时间是其它算法的1/4,在带宽大于20 M情况下,可保证500多个直播终端稳定广播,能满足应急广播的需求。 In view of the fact that the current emergency broadcast uses SMS forwarding,microphone voice and other live broadcast methods,such as poor operational sensitivity,inconvenient use,long delay,etc.,a streaming media live broadcast optimization model between mobile phone and broadcast terminal is established,and a multi-region multi-objective optimization algorithm for emergency broadcast streaming media live broadcast is proposed.The algorithm divides data fragments into equal intervals in the cache time of the nodes,and uses the weights of personnel level and waiting time as the transfer probability parameters of Markov to compete for the next time to distribute the task window to determine the broadcast order of the terminal.The simulation results show that under the optimal conditions,the response time is controlled within 10 seconds,and the playback delay time is 1/4 of the other algorithms.When the bandwidth is more than 20M,the algorithm can ensure stable broadcasting of more than 500 live terminals and meet the needs of emergency broadcasting.
作者 刘波 黄天天 LIU Bo;HUANG Tiantian(Information Science and Technology College, Hunan Agricultural University, Changsha 410128, China;Hunan Engineering Technology Research Center of Agricultural & Rural Information, Changsha 410128, China)
出处 《电视技术》 2019年第1期49-53,77,共6页 Video Engineering
基金 湖南省自然科学基金项目(S2017JJMSXM0577) 湖南省制造强省专项资金重大产业项目(2017209) 湖南省科技厅重点项目(2015NK2145 2016NK2118) 湖南农业大学团委科技创新立项项目(自科类2016ZK15 2017ZK25)
关键词 流媒体直播 时间分片 马尔可夫链 任务调度 live media streaming time slice Markova Task scheduling
  • 相关文献

参考文献6

二级参考文献40

  • 1杨传栋,余镇危,王行刚.混合P2P流媒体的缓存替换算法研究[J].计算机应用研究,2006,23(11):71-73. 被引量:9
  • 2田小波,陈蜀宇.基于最小效用的流媒体缓存替换算法[J].计算机应用,2007,27(3):733-736. 被引量:13
  • 3左冬红,杜旭,杨宗凯.无线Ad Hoc网络P2P流媒体分发缓存算法[J].计算机科学,2007,34(6):44-46. 被引量:1
  • 4Xie Susu, Li Bo, Zhang Xinyan. Coolstreaming: design, theory, and practice[C].IEEE Transactions on Multimedia,2007, 9(8): 1661-1671.
  • 5Hei Xiaojun,Liang Chao,Liang Jian,et al.Insights into PPLive: A measurement study of a large scale P2P IPTV system[C]. IPTV Workshop, International World Wide Web Conference, 2006.
  • 6Masahiro Sasabe,Naoki Wakamiya,Masayuki Murata,et al. Scalable and continuous media streaming on peer to peer networks [C].Proceedings of the 3rd International Conference on Peer-to- Peer Computing,2003:92-99.
  • 7Hui Guo,Kwok-Tung Lo,Jiang Li.An efficient caching scheme for on-demand streaming service on overlay networks[C]. IEEE Multimedia Tools and Applications,2007,34:322-326.
  • 8Liu Yunqiang,Yu Songyu. Streaming media delivery with proxy cache for heterogeneous clients[C]. Shanghai, China: Proceedings of the 7th IEEE Workshop on Multimedia Signal Processing,2005.
  • 9石磊,孟彩霞,韩英杰.基于预测的Web缓存替换策略[J].计算机应用,2007,27(8):1842-1845. 被引量:6
  • 10Li, Bo, Xie Susu, Qu Yang, et al. Inside the New Coolstreaming: Principles, Measurements and Performance Implications[C] //Proc. of INFOCOM’08. Calcutta, India: IEEE Press, 2008.

共引文献79

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部