TRAC Wireless Localization for Outdoor Environments


The focus of this is to evaluate robust strategies for wireless localization in outdoor environments. There are three key aspects to this work: (i) Uses client cooperation in large-scale wireless environments, (ii) Multi-modal nature of localization that integrates WiFi, cellular, and GPS based localization, (iii) No dependence on explicit support from cellular technologies. Currently we are experimenting with signal strength based localization available in both WiFi and cellular systems. Here is some initial measurements conducted around our CS building where localization is being performed using WiFi signal strength estimates.

The user walked from Dayton Street to Spring Street and localized himself using WiFi and compared performance to GPS based localization. There are 57 localization points (marked using squares) and are connected in time order. For example, the first point of red line is in the same time as the first point of green line, so is the second points, third points, ...

The following is the error distribution over time for this WiFi based localization system.

Project Members

Faculty
  • Suman Banerjee
    Students
  • Hsiang-Shan Shen
  • Sayandeep Sen
  • Shravan Rayanchu



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