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An optimization model for fragmentation-based routing in delay tolerant networks
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  • 作者:Xuyan Bao ; Yong Zhang ; Da Guo ; Mei Song
  • 关键词:multi ; path routing ; delay tolerant networks ; optimization model ; data offloading ; stochastic orderings ; 022314 ; 多径路由 ; 容断容迟网络 ; 优化模型 ; 数据分流 ; 随机序
  • 刊名:SCIENCE CHINA Information Sciences
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:59
  • 期:2
  • 页码:1-16
  • 全文大小:944 KB
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  • 作者单位:Xuyan Bao (1)
    Yong Zhang (1)
    Da Guo (1)
    Mei Song (1)

    1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • 刊物类别:Computer Science
  • 刊物主题:Chinese Library of Science
    Information Systems and Communication Service
  • 出版者:Science China Press, co-published with Springer
  • ISSN:1869-1919
文摘
The explosive growth of mobile data traffic has raised big penetration to cellular network. Fortunately, offloading part of traffic through Delay Tolerant Network (DTN) would be a promising option to relieve load pressure. However, the existing routing strategies designed for DTNs are inappropriate in offloading scenario, where i) large data item would take on the dominance of mobile traffic, ii) centralized control can be exploited with merge between DTN and cellular network. To improve the routing performance of large data transmission, we propose a novel optimization model by creating two-tier solution space based on fragmentation, maximizing the probability that the requested data item is successfully delivered before expiration, taking limited buffer space as constraint metric. Moreover, a specific routing scheme is instantiated from our model, which is supported by uniform fragmentation and fine-grained path selection. Extensive trace-driven simulations show that our scheme is more appropriate for offloading case with outstanding performance in terms of replication overhead and acceptable routing capability. Keywords multi-path routing delay tolerant networks optimization model data offloading stochastic orderings

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