On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Characterizing user behavior and network performance in a public wireless LAN
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A first-principles approach to understanding the internet's router-level topology
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
The changing usage of a mature campus-wide wireless network
Proceedings of the 10th annual international conference on Mobile computing and networking
Characterizing mobility and network usage in a corporate wireless local-area network
Proceedings of the 1st international conference on Mobile systems, applications and services
Modeling users' mobility among WiFi access points
WiTMeMo '05 Papers presented at the 2005 workshop on Wireless traffic measurements and modeling
WAC'05 Proceedings of the Second international IFIP conference on Autonomic Communication
Characterising university WLANs within eduroam context
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
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Campus wireless LANs (WLANs) are complex systems with hundreds of access points (APs) and thousands of users. To analyze the performance of wireless networking protocols, researchers need to construct simulations and testbed experiments that reproduce the characteristics of these networks. However, the generation of realistic models and benchmarks is challenging and there is only a limited set of models of roaming and access based on real measurement data. We employed graph theory, modeled the roaming activity as a graph and measured its degree of connectivity. The Negative Binomial distribution models well the degree of connectivity. Furthermore, we analyzed the evolution of the roaming activity in the spatial and temporal domain and its impact on the degree of connectivity of the graph.