Characterizing the duration and association patterns of wireless access in a campus

Our goal is to characterize the access pat- terns in a IEEE802.11 infrastructure. This can be bene- ficial in many domains, including coverage planning, re- source reservation, supporting location-dependent applica- tions and applications with real-time constraints, and pro- ducing models for simulations. We conducted an exten- sive measurement study of wireless users and their asso- ciation patterns on a major university campus using the IEEE802.11 wireless infrastructure. We characterized and analyzed the wireless access pattern based on several pa- rameters such as mobility, session and visit durations. We show that the mobility and building type affect the session and visit durations. As the mobility increases, the visit du- ration tends to decrease stochastically. The opposite hap- pens in the case of the session duration. Moreover, there exist different stochastic orders among visit durations of different building types when conditioning on session mo- bility. A family of BiPareto distributions can model the visit and session duration.

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