• DocumentCode
    2485712
  • Title

    A rough set performance evaluation approach for multicast routing strategies in delay and disruption tolerant networks

  • Author

    Zhang, Long ; Zhou, Xianwei

  • Author_Institution
    Dept. of Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    280
  • Lastpage
    284
  • Abstract
    Performance evaluation for multicast routing strategies is still an unexplored field in delay and disruption tolerant networks (DTNs) and faces great challenges. In this paper, we proposed a rough set approach to performance evaluation for multicast routing strategies in DTNs. The proposed approach constructs an evaluation index system for DTN multicast routing based on an analytic hierarchy process. Rough set theory is applied to explore the evaluation index data of multicast routing. Furthermore, the concept of information entropy is introduced to determine the weighting coefficients of evaluation indexes and the subjectivity that influences the determination of weighting coefficients is effectively reduced. Experimental results show that the proposed approach is feasible and effective.
  • Keywords
    entropy; multicast communication; performance evaluation; rough set theory; telecommunication network routing; analytic hierarchy process; delay tolerant networks; disruption tolerant networks; evaluation index system; information entropy; multicast routing strategies; rough set performance evaluation; Context awareness; Delay; Disruption tolerant networking; Electronic mail; Error analysis; Information entropy; Routing; Set theory; Spread spectrum communication; Wireless networks; Delay Tolerant Networks; Disruption Tolerant Networks; Information Entropy; Multicast Routing; Performance Evaluation; Rough Set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Networks, 2009. ICFIN 2009. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5158-6
  • Electronic_ISBN
    978-1-4244-5159-3
  • Type

    conf

  • DOI
    10.1109/ICFIN.2009.5339602
  • Filename
    5339602