IEEE Spectrum
Analysis of a local-area wireless network
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Analysis of a metropolitan-area wireless network
Wireless Networks - Selected Papers from Mobicom'99
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
Characterizing mobility and network usage in a corporate wireless local-area network
Proceedings of the 1st international conference on Mobile systems, applications and services
Analysis of a Wi-Fi hotspot network
WiTMeMo '05 Papers presented at the 2005 workshop on Wireless traffic measurements and modeling
Access and mobility of wireless PDA users
ACM SIGMOBILE Mobile Computing and Communications Review
Mobility Patterns in Microcellular Wireless Networks
IEEE Transactions on Mobile Computing
Analysis of a campus-wide wireless network
Wireless Networks
Global data allocation based on user behaviors in mobile computing environments
Computer Communications
The changing usage of a mature campus-wide wireless network
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Wireless local area networks (WLAN) are common in universities and their popularity grows every day. Understanding the trends in the use of these networks (i.e. how much, when and where traffic is present) is becoming more relevant. Interesting results can be extracted by analyzing WLAN traces from real scenarios. In this work, three buildings are studied on two campuses in Barcelona (Spain) and its surroundings. This is the first study providing the user behavior in a European campus. Similar trends are observed in the three buildings, despite the different amount of users, purpose of the building and size of the campus. Daily and weekly patterns are shown. The population accessing the networks is mostly composed of infrequent users: less than half of the devices access the WLAN more than four days during the three months studied. Many users visiting one building associate with only one access point: despite the widespread use of lightweight devices many users are static. The main difference among different buildings is the fidelity of users: users on a small campus are more likely to reappear on different days than on a large campus, where the population is more heterogeneous. The results of this analysis provide general tools for characterizing campus-wide WLAN and a better understanding of usage and performance issues in a mature wireless network in Europe.