• DocumentCode
    3612642
  • Title

    User-oriented hybrid opportunistic network design

  • Author

    Zhang Yong ; Li Jin ; Song Mei ; Yang Ming

  • Author_Institution
    Beijing Key Lab. of Work Safety Intell. Monitoring, Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    12
  • Issue
    11
  • fYear
    2015
  • fDate
    11/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    15
  • Abstract
    To improve the end-to-end Successful Delivery Probability (SDP) of mobile nodes in opportunistic network, hybrid Opportunistic Network (OppNet) architecture using Fix Infrastructure Nodes (FINs) is proposed. As enhanced OppNet serving for special users, the network planning and design should take user\´s mobility behavior into account. We adopt collected users\´ mobility records, analyze users\´ stay pattern, and establish Message Exchange Points (MEPs) where FINs should be installed. Our solution includes MEPs detection algorithm, Maximum end-to-end Success Delivery Probability (MSDP) detection algorithm, and simulated annealing algorithm. After data preprocessing, MEPs detection algorithm detects feasible locations from users\´ trajectory records where not more than one user visit frequently. End to end SDPs of these feasible MEPs are evaluated using MSDP detection algorithm. To reduce the computation complexity, a simulated annealing algorithm to select optimal FIN locations in a large number of feasible MEPs is given. The evaluation experiments based on reallife trajectory dataset verify our proposal can achieve better E2E SDP gain than "most visitors" strategy and "max residence probability" strategy.
  • Keywords
    probability; simulated annealing; telecommunication network planning; FIN; MEP detection algorithm; MSDP detection algorithm; OppNet architecture; OppNet serving; SDP; end-to-end successful delivery probability; fix infrastructure nodes; maximum end-to-end success delivery probability; message exchange points; mobile nodes; mobility behavior; network planning; optimal FIN locations; reallife trajectory dataset; simulated annealing algorithm; user mobility behavior; user oriented hybrid opportunistic network design; Algorithm design and analysis; Animals; Detection algorithms; Mobile nodes; Trajectory; opportunistic network; network architecture; user mobility;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2015.7366235
  • Filename
    7366235