• DocumentCode
    3781057
  • Title

    WLAN Floor Location Method Based on Hierarchical Clustering

  • Author

    Weifeng Zhong;Jie Yu

  • Author_Institution
    Sch. of Autom., Harbin Univ. of Sci. &
  • fYear
    2015
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    In modern life, people´s daily work and recreational activity concentrate in high-rise buildings frequently, so people often focus on the floor and the building information. When the users is in shopping, station and other buildings whose structure is complex, hoping to determine their floor through positioning service quickly. In this paper, WLAN floor positioning method based on hierarchy clustering is proposed, which can improve the accuracy of floor positioning and locate the user´s floor rapidly. In this paper, Matlab is used to carry out simulation experiments. The experimental results show that this method is beneficial to improve the accuracy of the floor location, while reducing the time of the floor location.
  • Keywords
    "Floors","Fingerprint recognition","Wireless LAN","Clustering algorithms","Clustering methods","Attenuation"
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computing Science (COMCOMS), 2015 3rd International Conference on
  • Print_ISBN
    978-1-4673-9632-5
  • Type

    conf

  • DOI
    10.1109/COMCOMS.2015.12
  • Filename
    7515582