A Smooth-turn Mobility Model for Airborne Networks Metadata

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  • Main Title A Smooth-turn Mobility Model for Airborne Networks


  • Author: He, Dayin
    Creator Type: Personal


  • Chair: Huang, Yan
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Wan, Yan
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Fu, Shengli
    Contributor Type: Personal


  • Name: University of North Texas
    Place of Publication: Denton, Texas
    Additional Info: www.unt.edu


  • Creation: 2012-08


  • English


  • Content Description: In this article, I introduce a novel airborne network mobility model, called the Smooth Turn Mobility Model, that captures the correlation of acceleration for airborne vehicles across time and spatial coordinates. E?ective routing in airborne networks (ANs) relies on suitable mobility models that capture the random movement pattern of airborne vehicles. As airborne vehicles cannot make sharp turns as easily as ground vehicles do, the widely used mobility models for Mobile Ad Hoc Networks such as Random Waypoint and Random Direction models fail. Our model is realistic in capturing the tendency of airborne vehicles toward making straight trajectory and smooth turns with large radius, and whereas is simple enough for tractable connectivity analysis and routing design.


  • Keyword: Mobility model
  • Keyword: airborne networks
  • Keyword: randomness


  • Name: UNT Theses and Dissertations
    Code: UNTETD


  • Name: UNT Libraries
    Code: UNT


  • Rights Access: public
  • Rights Holder: He, Dayin
  • Rights License: copyright
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights Reserved.

Resource Type

  • Thesis or Dissertation


  • Text


  • Archival Resource Key: ark:/67531/metadc149603


  • Academic Department: Department of Computer Science and Engineering
  • Degree Discipline: Computer Science
  • Degree Level: Master's
  • Degree Name: Master of Science
  • Degree Grantor: University of North Texas
  • Degree Publication Type: thesi