摘要
各类移动多媒体智能终端的普及使得设备间的自组织机会通信成为国际研究热点,而移动节点间的机会通信方式已无法满足日益增长的多媒体传输需求.面向机会组网与视频内容传输问题,基于机会网络实际通信能力计算,提出了一种视频分块大小最优化计算方法,使机会网络通信能力得到最大化利用;提出了一种能够实现渐进式接收视频分块的路由调度算法,建立分块紧缺度模型,引导分块在目标节点趋于均匀分布.实验结果表明,该方法能在恶劣通信环境下实现高效的视频数据预览与传输,可为相关视频内容的无线移动传输提供支持.
Ad hoc opportunistic communication has become a hotspot with the popularity of various mobile multimedia intelligent terminals.However,the opportunistic communication style among mobile nodes cannot satisfy the growing of multimedia transmission.Aiming to the issues of opportunistic networking and video content transmission,based on the opportunistic network communication capability calculation,we proposed a method of calculating the optimal size of video fragment.The method could maximize the use of network communication capabilities.After that,a video routing and scheduling algorithm is proposed to receive video fragments progressively,and to create fragment priority model which results to uniform fragments distribution at destination node.The experimental results show that the proposed methods can make efficient video content preview and transmission in challenging communication environment,and can support the related video content transmission in wireless mobile environment.
作者
李鹏
王小明
张立臣
卢俊岭
朱腾蛟
张丹
LI Peng;WANG Xiao-ming;ZHANG Li-chen;LU Jun-ling;ZHU Teng-jiao;ZHANG Dan(Ministry of Education Key Laboratory for Modern Teaching Technology,Shaanxi Normal University,Xi’an,Shaanxi 710119,China;;Engineeruny Laboratory of Teach Information Technology of Shaanxi Province,Xi’an,Shaanxi 710119,China;;School of Computer Science,Shaanxi Normal University,Xi’an,Shaanxi 710119,China)
出处
《电子学报》
EI
CAS
CSCD
北大核心
2018年第9期2165-2172,共8页
Acta Electronica Sinica
基金
国家重点研发计划(No.2017YFB142102)
国家自然科学基金(No.61702317
No.61402273
No.61373083)
国家留学基金(No.201506875069)
陕西省自然科学基础研究计划项目(No.2015JQ6238
No.2017JM6060
No.2017JM6103)
中央高校基本科研业务费专项资金(No.GK201803082
No.GK201401002
No.GK201703061)
陕西省重点科技创新团队项目(No.2014KTC-18)
高等学校学科创新引智计划(No.B16031)
关键词
机会网络
分块传输
调度算法
opportunistic networks
fragment transmission
scheduling algorithm
