• DocumentCode
    3541951
  • Title

    Relative RSS-based GSM localization technique

  • Author

    Abdel Meniem, Mohamed H. ; Hamad, Ahmed M. ; Shaaban, Eman

  • Author_Institution
    Comput. Syst. Dept., Ain-Shams Univ., Cairo, Egypt
  • fYear
    2013
  • fDate
    9-11 May 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Context-aware applications have been gaining huge interest in the last few years. With cell phones becoming ubiquitous computing devices, cell phone localization has become an important research problem, and numerous localization solutions have been proposed. Database Correlation Method (DCM) is a positioning technology that based on a premeasured database of a location dependent variable such as Received Signal Strength (RSS) or Link Quality Identifier. DCM has shown superior in terms of accuracy. Absolute RSS values received from base station change with time, but the relative RSS values which refer to the relations of the RSS values between different base stations are more stable. This study has proposed and implemented a robust technique for both positioning and traffic estimation using Relative Received Signal Strength (RRSS) of GSM. The study has been tested and analysed in Egypt roads using realistic data and Android smart phones. The performance evaluation showed good results. Mean positioning accuracy was about 29 m in urban areas and velocity estimation was about 1 km/h in rural areas.
  • Keywords
    cellular radio; mobile handsets; mobility management (mobile radio); Android smart phones; cell phone localization; context aware applications; database correlation method; link quality identifier; realistic data; relative RSS based GSM localization technique; relative received signal strength; traffic estimation; Accuracy; Estimation; Fingerprint recognition; Monitoring; Roads; Smart phones; Vehicles; DCM localization; Fingerprints; GSM localization; RRSS localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2013 IEEE International Conference on
  • Conference_Location
    Rapid City, SD
  • ISSN
    2154-0357
  • Print_ISBN
    978-1-4673-5207-9
  • Type

    conf

  • DOI
    10.1109/EIT.2013.6632643
  • Filename
    6632643