• DocumentCode
    2707735
  • Title

    Wireless base stations planning based on GIS and genetic algorithms

  • Author

    Yang, Hepan ; Wang, Jing ; Song, Xianfeng ; Yang, Yongguo ; Wang, Min

  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The wireless communication system functions in data acquisition and device control of pipeline network system for gas extraction and transport in a coalbed methane field. Its base station planning in a barren mountainous area is affected by radio waves propagation, terrain, power supply and others. We propose an advanced planning approach to determine the location of base stations. Assuming base stations are established in gas well plots for reducing investment through by utilizing their power and space, such a planning becomes an issue of site selection optimization. The LEE propagation model is used to compute the radio transmission distance and the viewshed analysis is applied for determining the visibility between two points and, consequently, the graph is constructed to describe the spatial proximity relationships between sites of candidate stations. The genetic algorithms with an improved crossover method are applied with the above graph as an input for determine a best solution of minimizing the number of based stations in wireless communication systems.
  • Keywords
    data acquisition; genetic algorithms; geographic information systems; land use planning; radiowave propagation; terrain mapping; wireless channels; GIS; LEE propagation; coalbed methane field; data acquisition; device control; gas extraction; genetic algorithms; geographic information system; pipeline network; power supply; radio transmission distance; radiowaves propagation; site selection optimization; spatial proximity; terrain; wireless base stations planning; wireless communication; Genetic Algorithm; Site Selection Optimization; Viewshed Analysis; Wireless Base Station;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980787
  • Filename
    5980787