• DocumentCode
    517755
  • Title

    An Incentive Congestion Control Strategy for DTNs with Mal-behaving Nodes

  • Author

    Yin, Lei ; Lu, Hui-mei ; Cao, Yuan-Da ; Gao, Jian-min

  • Author_Institution
    Sch. of Comput. Sci., Beijing Inst. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    91
  • Lastpage
    94
  • Abstract
    Delay Tolerant Networks (DTNs) are characterized by intermittent connectivity, high delay and without end-to-end path from the source to the destination. The fundamental way of message routing in DTNs is store-and-forward. Thus, the mal-behaving nodes in the networks, which are uncooperative to relay messages, will significantly undermine the routing performance. In this paper, we propose a novel congestion control solution for DTNs with mal-behaving nodes named Incentive Multi-paths Routing with Alternative Storage (IMRASFC). IMRASFC firstly initializes multi-paths routing to mitigate link load, then it establishes rules to bestir mal-behaving nodes to store and forward messages, at last it selects alternative nodes with available storage to store data which would otherwise be dropped given buffer exhaustion. Simulation results show that IMRASFC improves the performance of routing algorithms significantly, especially when the number of copies in the network is large.
  • Keywords
    telecommunication congestion control; telecommunication network routing; DTN; congestion control; delay tolerant networks; end-to-end path; incentive multipaths routing with alternative storage; intermittent connectivity; message routing; Analytical models; Buffer storage; Communication system control; Computer networks; Computer security; Disruption tolerant networking; Forward contracts; Relays; Routing; Wireless communication; Congestion control; DTN; Incentive strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-4011-5
  • Electronic_ISBN
    978-1-4244-6598-9
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2010.29
  • Filename
    5481132