Proceedings of the 25th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM)
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%.
Minkyong Kim, David Kotz, and Songkuk Kim. Extracting a Mobility Model from Real User Traces. In Proceedings of the 25th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM), April 2006. DOI 10.1109/INFOCOM.2006.173.