Identifying wireless user groups and association patterns in a campus
Francisco Chinchilla, Maria Papadopouli, Billy Saelim, Diane Pozefsky, Harshavardhan Sabbineni · 2003
Abstract — Our goal is to understand the movement patterns of wireless users and producing models that describe client associations. This can be beneficial in many domains, including coverage planning, resource reservation, supporting location-dependent applications and applications with real-time constraints, and produce models for simulations. We conducted a 77-day measurement study of wireless users and their association patterns on a major university campus using the IEEE 802.11 wireless infrastructure. We cluster wireless clients based on their inter-building mobility and the characteristics of their movement while they are continuously connected to the infrastructure. We further distinguish wireless clients based on their interbuilding mobility, their visits to access points (APs), and the features of their continuous walks in the wireless infrastructure. Such measurements can benefit protocols and algorithms that aim to improve the performance of the wireless infrastructures by load balancing, admission control, and resource reservation across APs. I.