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  • 标题:MS-CCVN: Multi-Source Content Centric Vehicular Networking
  • 本地全文:下载
  • 作者:Dong Doan Van ; Dong Doan Van ; Qingsong Ai
  • 期刊名称:Journal of Communications
  • 印刷版ISSN:1796-2021
  • 出版年度:2016
  • 卷号:11
  • 期号:12
  • 页码:1079-1087
  • DOI:10.12720/jcm.11.12.1079-1087
  • 语种:English
  • 出版社:ACADEMY PUBLISHER
  • 摘要:Abstract—Recently, Content-Centric Networking (CCN) has become an emerging technology in vehicular environments and is called Content Centric Vehicular Networking (CCVN). In this kind of system, the network performance was improved by reducing redundant transmission if the cached contents are popular. However, the volume of the Content Store (CS) is constrained, and much smaller than the generated contents. Moreover, the current capacity vehicular backbone network and bandwidth of the Internet have faced great challenges to cope with constantly increasing vehicular applications. To solve these issues, we propose a novel scheme integrating CCN with Multi-source Mobile Streaming (MS~2) into VANETs model, dubbed MS-CCVN. In this scheme, the caching of each content is not limited to the single server anymore, instead, each content is fragmented and distributed to multiple servers over a large scale network. After experimenting with disjoint multi-paths, various content fragments are coupled at side clients. The results obtained by OPNET Modeler simulation show that the MS-CCVN scheme helps to improve energy efficiency, enhance effective caching, less bottleneck link, shorter round trip time, and offload server traffic in comparison with the original CCN scheme in vehicular environments.
  • 关键词:CCN;CCVN;MS~2;VANETs;vehicle cloud computing
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