BibTeX for papers by David Kotz; for complete/updated list see
https://www.cs.dartmouth.edu/~kotz/research/papers.html

@InProceedings{kim:mobility,
  author =        {Minkyong Kim and David Kotz and Songkuk Kim},
  title =         {{Extracting a mobility model from real user traces}},
  booktitle =     {{Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM)}},
  year =          2006,
  month =         {April},
  pages =         {1--12},
  publisher =     {IEEE},
  copyright =     {IEEE},
  address =       {Barcelona, Spain},
  DOI =           {10.1109/INFOCOM.2006.173},
  URL =           {https://www.cs.dartmouth.edu/~kotz/research/kim-mobility/index.html},
  abstract =      {Understanding user mobility is critical for simulations of mobile devices in a wireless network, but current mobility models often do not reflect real user movements. In this paper, we provide a foundation for such work by exploring mobility characteristics in traces of mobile users. We present a method to estimate the physical location of users from a large trace of mobile devices associating with access points in a wireless network. Using this method, we extracted tracks of always-on Wi-Fi devices from a 13-month trace. We discovered that the speed and pause time each follow a log-normal distribution and that the direction of movements closely reflects the direction of roads and walkways. Based on the extracted mobility characteristics, we developed a mobility model, focusing on movements among popular regions. Our validation shows that synthetic tracks match real tracks with a median relative error of 17\%.},
}