• DocumentCode
    2504907
  • Title

    A toolkit-based approach to indoor localization

  • Author

    Wang, Yu ; Harder, Adam

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Auburn Univ., AL
  • fYear
    0
  • fDate
    0-0 0
  • Lastpage
    238
  • Abstract
    Location is one of the most important contexts used in the applications in the pervasive computing environments. It helps the application do the right thing at the right place. On the other hand, location is the most difficult context to acquire and process. Location information cannot be obtained using a single sensing system. It has to be abstracted to application-specific meanings before an application can understand it and utilize it. Since 802.11 networks are used widely, we use its RF signal strength to derive a client´s location. To facilitate the indoor location determination system development, we build a location toolkit, which includes several utility programs. The toolkit not only performs some common functionalities used in various location determination approaches, but also provides a straightforward visual interface to researchers and users. This paper presents our approach to developing an indoor location determination system based on the toolkit, and some research results we have obtained
  • Keywords
    graphical user interfaces; mobile computing; utility programs; wireless LAN; 802.11 networks; RF signal; client location; indoor localization; indoor location determination system; location toolkit; pervasive computing environments; utility programs; visual interface; Application software; Computer science; Context; Distributed computing; Mobile computing; Network servers; Pervasive computing; Sensor phenomena and characterization; Software engineering; Utility programs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops, 2006. ICPP 2006 Workshops. 2006 International Conference on
  • Conference_Location
    Columbus, OH
  • ISSN
    1530-2016
  • Print_ISBN
    0-7695-2637-3
  • Type

    conf

  • DOI
    10.1109/ICPPW.2006.19
  • Filename
    1690706