北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (3): 75-79.doi: 10.13190/j.jbupt.2016.03.013

• 论文 • 上一篇    下一篇

机会网络中视频分块随机集中调度算法

王小明, 朱腾蛟, 李鹏, 张立臣, 张丹   

  1. 陕西师范大学 计算机科学学院, 西安 710119
  • 收稿日期:2015-06-27 出版日期:2016-06-28 发布日期:2016-06-27
  • 作者简介:王小明(1964-),男,教授,博士生导师;朱腾蛟(1983-),男,硕士生,E-mail:ztj_nwu@snnu.edu.cn.
  • 基金资助:

    国家自然科学基金项目(61373083,61402273);陕西省自然科学基础研究计划项目(2014KTC-18);中央高校基本科研业务费专项资金项目(GK201401002);高等学校学科创新111引智计划项目(B16031)

An Algorithm of Randomly Intensive Dissemination of Video Fragments in Opportunistic Network

WANG Xiao-ming, ZHU Teng-jiao, LI Peng, ZHANG Li-chen, ZHANG Dan   

  1. School of Computer Science, Shaanxi Normal University, Xi'an 710119, China
  • Received:2015-06-27 Online:2016-06-28 Published:2016-06-27

摘要:

提出了一种调节视频分块在时间轴上分布集中的视频块调度算法,满足了用户能快速接收时间轴上随机分布、内容上连续且数量较多的视频段的需求,从而使用户在短时间内了解初始视频的有效内容.该算法可有效引导视频块的传输,大大降低递交延时.实验结果表明,视频分块调度算法有效可行.

关键词: 延迟容忍网络, 视频分块, 视频数据分发, 视频数据集中

Abstract:

An algorithm of randomly intensive dissemination of video fragments in opportunistic network was proposed to satisfy the requirement of more number of video segments distributed randomly in time axis and sequenced in content so that users can acquire effective information of the original video. The proposed algorithm can guide transportation of video blocks while delivery delay is reduced sharply. Simulations show that random-sequential content spreading (RSCS) significantly outperforms these approaches in terms of random-sequential index. Moreover, RSCS also achieves better performance levels in ratio of delivery and latency than sequential solution.

Key words: delay tolerant network, video block, video dissemination scheme, intensity of video block

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