• DocumentCode
    2099212
  • Title

    Resources Scheduling of TT&C Network Based on Quantum Genetic Algorithm

  • Author

    Gong, Chang-Qing ; Zhang, Bing ; Li, Ying

  • Author_Institution
    Shenyang Inst. of Aeronaut. Eng., Shenyang, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Quantum genetic algorithm (QGA) is based on quantum computation and genetic algorithm. QGA introduces quantum bit (qubit) and quantum rotation gate into genetic algorithm (GA). In order to solve the problem of tracking collision in the work of station resources allocation in TT&C network, taken the factors of time delay and network bandwidth into consideration, this paper builds a model based on general principle of resource allocation and the rule of optimization, and presents the solutions and steps about QGA. Experimental results show that QGA has more searching efficiency and constringency than GA. Finally, an example is advanced to illustrate the effectiveness of the algorithm.
  • Keywords
    genetic algorithms; quantum communication; satellite communication; scheduling; TT&C network; quantum bit; quantum genetic algorithm; quantum rotation gate; qubit; resource allocation; resources scheduling; Aerospace engineering; Computer networks; Delay effects; Genetic algorithms; Job shop scheduling; Low earth orbit satellites; Processor scheduling; Quantum computing; Resource management; Satellite ground stations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302019
  • Filename
    5302019