Comparing Mobility and Predictability of VoIP and WLAN Traces

Realistic modeling of user mobility is one of the most critical research areas in wireless networks. Mobility data based on real human behaviors may give them the opportunity to improve wireless and mobile services for users in many ways. Currently, several mobility models are proposed based on the analysis of real WLAN traces. However, the large collection of WLAN usage traces, seem to capture little mobility from the users. This paper focuses on a subset of the wireless users, who use wireless VoIP devices.