1st International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Impact of sniffer deployment on indoor localization

  • @INPROCEEDINGS{10.1109/COLCOM.2005.1651223,
        author={Saad Biaz and Yiming Ji and Prathima Agrawal},
        title={Impact of sniffer deployment on indoor localization},
        proceedings={1st International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        keywords={Buildings  Councils  Indoor radio communication  Intrusion detection  RF signals  Radio frequency  Satellite broadcasting  Signal generators  Table lookup  Wireless networks},
  • Saad Biaz
    Yiming Ji
    Prathima Agrawal
    Year: 2006
    Impact of sniffer deployment on indoor localization
    DOI: 10.1109/COLCOM.2005.1651223
Saad Biaz1, Yiming Ji1,a,*, Prathima Agrawal1
  • 1: Wireless Engineering Research & Education Center, Auburn University
  • a: Corresponding author; for this work, Yiming Ji was supported by a Fellowship from the Auburn Alumni Council (Sept 2003-Sept 2005). He is currently a Vodafone Fellow.
*Contact email: jiyimin@eng.auburn.edu


The demand for location based applications including network intrusion detection has grown tremendously lately. However, location determination of indoor mobile users is challenging because of the complexities of the indoor radio propagation characteristics. A radio-frequency (RF) based indoor localization system, like ARIADNE, typically operates by first constructing a lookup table mapping the radio signal strength at different known locations in the building, and then a mobile user's location at an arbitrary point in the building is determined by measuring the signal strength at the location in question and searching the corresponding location from the above lookup table. Usually, the mobile user's signal strength is measured by three or more sniffers mechanically deployed inside the building. Obviously, the sniffers position configuration and the number of available sniffers greatly affect the localization performance. This paper presents experimental results that explore the impact of the sniffers deployment on the localization based on the ARIADNE system. The results demonstrate that the triangular deployment and extra available sniffers generally generate better localization performance.