• DocumentCode
    126948
  • Title

    Research on TSGA algorithm satellite data transmission scheduling

  • Author

    Li Li-xin ; Ma Wei-zhong ; Liu Xiao-li

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    17-19 Aug. 2014
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Satellite data transmission scheduling is assigning limited ground resources for satellite data requests reasonably in the condition of many satellites and ground stations with considering many constraints. Its purpose is improving the efficient usage of ground resources. In this paper, we focus on the building of satellite data transmission scheduling and algorithm. We describe the constraints of satellite data transmission scheduling formally and analyze the process of satellites data transmission. We put forward conflict degrees of data transmission after analyzing the data transmission time windows. And we give one strategy to resolve the conflicts. We build models of satellite data transmission after giving the resolve the problem based on its characteristic. Owing to the shortcoming of GA, we connect Tabu Search Algorithm(TSA) with Genetic Algorithms (GA),we call the combination TSGA. We get the scene of scheduling by the software of STK. We build several evaluation indexes of two kinds of algorithms. The results show that TSGA algorithm outperforms GA.
  • Keywords
    data communication; genetic algorithms; satellite communication; scheduling; search problems; TSGA algorithm satellite data transmission scheduling; data transmission time windows; genetic algorithms; ground resources; ground stations; satellite data requests; satellite data transmission algorithm; satellites stations; tabu search algorithm; Algorithm design and analysis; Biological cells; Data communication; Genetic algorithms; Optimization; Satellite antennas; Satellites; GA; TSA; TSGA; conflict degrees of data transmission; satellite data transmission scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science & Engineering (ICMSE), 2014 International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4799-5375-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2014.6930208
  • Filename
    6930208