• DocumentCode
    245823
  • Title

    Exploiting Partial Centrality of Nodes for Data Forwarding in Mobile Opportunistic Networks

  • Author

    Peiyan Yuan ; Ping Liu ; Shaojie Tang

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Henan Normal Univ., Xinxiang, China
  • fYear
    2014
  • fDate
    19-21 Dec. 2014
  • Firstpage
    1435
  • Lastpage
    1442
  • Abstract
    The social-based forwarding scheme has recently been shown to be an effective solution to improve the performance of opportunistic routing. Most of the current works focus on the globally defined node centrality, resulting in a bias towards the most popular nodes. However, these nodes may not be appropriate relay candidates for some target nodes, because they may have low importance relative to these subsets of target nodes. In this paper, to improve the opportunistic forwarding efficiency, we exploit the relative importance (called partial centrality) of a node with respect to a group of nodes. We design a new opportunistic forwarding scheme, opportunistic forwarding with partial centrality (OFPC), and theoretically quantify the influence of the partial centrality on the data forwarding performance using graph spectrum. By applying our scheme on three real opportunistic networking scenarios, our extensive evaluations show that the OFPC achieves significantly better mean delivery delay and cost compared to the state-of-the-art works, while achieving delivery ratios sufficiently close to those by Epidemic under different TTL requirements.
  • Keywords
    graph theory; mobile radio; relay networks (telecommunication); telecommunication network routing; OFPC; TTL; data forwarding; graph spectrum; mean delivery delay; mobile opportunistic networks; opportunistic forwarding efficiency; opportunistic forwarding scheme; opportunistic forwarding with partial centrality; opportunistic routing performance; partial node centrality; relay candidates; social-based forwarding scheme; Communities; Covariance matrices; Measurement; Noise; Principal component analysis; Relays; Vectors; data forwarding; mobile opportunistic networks; partial centrality; performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-7980-6
  • Type

    conf

  • DOI
    10.1109/CSE.2014.270
  • Filename
    7023780