• DocumentCode
    1351232
  • Title

    Replication Routing in DTNs: A Resource Allocation Approach

  • Author

    Balasubramanian, Aruna ; Levine, Brian Neil ; Venkataramani, Arun

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA, USA
  • Volume
    18
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    596
  • Lastpage
    609
  • Abstract
    Routing protocols for disruption-tolerant networks (DTNs) use a variety of mechanisms, including discovering the meeting probabilities among nodes, packet replication, and network coding. The primary focus of these mechanisms is to increase the likelihood of finding a path with limited information, and so these approaches have only an incidental effect on such routing metrics as maximum or average delivery delay. In this paper, we present rapid, an intentional DTN routing protocol that can optimize a specific routing metric such as the worst-case delivery delay or the fraction of packets that are delivered within a deadline. The key insight is to treat DTN routing as a resource allocation problem that translates the routing metric into per-packet utilities that determine how packets should be replicated in the system. We evaluate rapid rigorously through a prototype deployed over a vehicular DTN testbed of 40 buses and simulations based on real traces. To our knowledge, this is the first paper to report on a routing protocol deployed on a real outdoor DTN. Our results suggest that rapid significantly outperforms existing routing protocols for several metrics. We also show empirically that for small loads, RAPID is within 10% of the optimal performance.
  • Keywords
    network coding; resource allocation; routing protocols; DTN routing protocol; delivery delay; disruption tolerant networks; network coding; resource allocation; DTN; Deployment; design; mobility; performance; routing; utility;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2009.2036365
  • Filename
    5350443