Periodic properties of user mobility and access-point popularity

Understanding user mobility and its effect on access points (APs) is important in designing location-aware systems and wireless networks. Although various studies of wireless networks have provided useful insights, it is hard to apply them to other situations. Here we present a general methodology f...

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Bibliographic Details
Published in:Personal and ubiquitous computing 2007-08, Vol.11 (6), p.465-479
Main Authors: Kim, Minkyong, Kotz, David
Format: Article
Language:English
Subjects:
Bayesian analysis
Fourier transforms
Information technology
Wireless access points
Wireless networks
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Summary:Understanding user mobility and its effect on access points (APs) is important in designing location-aware systems and wireless networks. Although various studies of wireless networks have provided useful insights, it is hard to apply them to other situations. Here we present a general methodology for extracting mobility information from wireless network traces, and for classifying mobile users and APs. We used the Fourier transform to reveal important periods and chose the two strongest periods to serve as parameters to a classification system based on Bayes' theory. Analysis of 1-month traces shows that while a daily pattern is common among both users and APs, a weekly pattern is common only for APs. Analysis of 1-year traces revealed that both user mobility and AP popularity depend on the academic calendar. By plotting the classes of APs on our campus map, we discovered that their periodic behavior depends on their proximity to other APs. [PUBLICATION ABSTRACT]
ISSN:1617-4909
1617-4917
DOI:10.1007/s00779-006-0093-4