• DocumentCode
    2167530
  • Title

    The clustering algorithm of UAV Networking in Near-space

  • Author

    Liu Kesheng ; Zhang Jun ; Zhang Tao

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing
  • fYear
    2008
  • fDate
    2-5 Nov. 2008
  • Firstpage
    1550
  • Lastpage
    1553
  • Abstract
    Considering the features of UAV (unmanned air vehicle) networking in near-space, such as low network performance, ineffective communication capability of UAV clusters and the difficulty to manage UAV while it is out of sight, this paper proposes a space-Earth-based integrated - "Calculate on the ground, Adjust in the space" thought to design a "clustering algorithm of UAV networking in near-space". The mathematical analysis and simulation results show that this algorithm can effectively improve the stability and flexibility of near-space clusters, economize the systematic expense, guarantee the movable networking ability of nodes in the space by reducing the calculation of nodes, and realize the clustering and networking of nodes in near-space environment the ability of which is limited.
  • Keywords
    aerospace control; mobile robots; remotely operated vehicles; statistical analysis; UAV networking; clustering algorithm; near-space environment; unmanned air vehicle; Automotive engineering; Clustering algorithms; Design engineering; Engineering management; Land vehicles; Road vehicles; Satellite ground stations; Space technology; Space vehicles; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2192-3
  • Electronic_ISBN
    978-1-4244-2193-0
  • Type

    conf

  • DOI
    10.1109/ISAPE.2008.4735528
  • Filename
    4735528