• DocumentCode
    569812
  • Title

    TAFR: A TTL-aware Message Ferry Scheme in DTN

  • Author

    Wu, Xiaoyang ; Chen, Yingwen ; Xu, Ming ; Peng, Wei

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    1380
  • Lastpage
    1383
  • Abstract
    Partitioning network, especially some DTN, can use Message Ferry(MF) scheme to restore network connection. Message TTL describes the maximum delay tolerance of transmission and messages with out-of-date TTL should be dropped. In this paper, we will study the problem of how to design the ferry´s moving route dynamically to get high message delivery ratio under the constraint of message TTL, which we call it TAFR problem as well as algorithms. We compare TAFRA to existing SIRA and Random Way point algorithm with different message TTLs and ferry number in two scenarios. The simulation shows that TAFRA can get nearly twice the delivery ratio than SIRA in low message TTL conditions, and 50% more delivery ratio with increasing ferry number. Furthermore, the simulation shows that TAFRA provides on-demand characteristics which are more suitable in some non-uniformly distribute message condition.
  • Keywords
    delay tolerant networks; message switching; mobile radio; TAFR problem; TTL-aware message ferry scheme; delay tolerance; delay/disruption tolerant networks; message delivery ratio; message transmission; network connection restoration; nonuniformly distribute message condition; on-demand characteristics; partitioning network; random way point; Algorithm design and analysis; Approximation algorithms; Clustering algorithms; Computational modeling; Delay; Heuristic algorithms; Prediction algorithms; DTN; Dynamic Scheme; Ferry Route; Message Delivery Ratio; TTL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.309
  • Filename
    6301423