• DocumentCode
    160730
  • Title

    Redundant and Relay Assistant Scheduling of Small Satellites

  • Author

    Lei Xia ; Nenghai Yu

  • Author_Institution
    Inf. Sci. & Technol. Dept., Univ. of Sci. & Technol., Hefei, China
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    1017
  • Lastpage
    1024
  • Abstract
    The satellite range scheduling problem between small satellites and academic ground station network is researched in this paper, by analysing the feature of the network scenario, model the SRS problem and countering the low-cost, non-profit and increased conflict contact windows characteristics of academic ground network, define the fair function and give proof that the theory is reasonable, using genetic algorithm to find an optimal solution. By analysing the relay satellite and its possibility to support the assistant communication, extract the redundant fraction time due to the contact windows confliction to augment the final optimization objective value. Computational examples show the validity of the approach.
  • Keywords
    genetic algorithms; satellite communication; scheduling; SRS problem; academic ground network; academic ground station network; assistant communication; autonomous satellite communication system; contact windows; contact windows characteristics; genetic algorithm; multi-objective; network scenario; optimal solution; optimization objective value; redundant assistant scheduling; redundant fraction time; relay assistant scheduling; relay satellite; satellite range scheduling problem; Equations; Genetic algorithms; Mathematical model; Optimal scheduling; Relays; Satellites; academic ground station; fair; genetic algorithm; relay assistant; satellite range scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4799-3629-8
  • Type

    conf

  • DOI
    10.1109/AINA.2014.124
  • Filename
    6838776