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Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'04)
Analysis of Wide Area User Mobility Patterns
Lake District National Park, United Kingdom
December 02-December 03
ISBN: 0-7695-2258-0
| ASCII Text | x | ||
| Kevin D. Simler, Steven E. Czerwinski, Anthony D. Joseph, "Analysis of Wide Area User Mobility Patterns," Mobile Computing Systems and Applications, IEEE Workshop on, pp. 30-40, Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'04), 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSA.2004.6, author = {Kevin D. Simler and Steven E. Czerwinski and Anthony D. Joseph}, title = {Analysis of Wide Area User Mobility Patterns}, journal ={Mobile Computing Systems and Applications, IEEE Workshop on}, volume = {0}, year = {2004}, issn = {1550-6193}, pages = {30-40}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSA.2004.6}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Mobile Computing Systems and Applications, IEEE Workshop on TI - Analysis of Wide Area User Mobility Patterns SN - 1550-6193 SP30 EP40 A1 - Kevin D. Simler, A1 - Steven E. Czerwinski, A1 - Anthony D. Joseph, PY - 2004 KW - null VL - 0 JA - Mobile Computing Systems and Applications, IEEE Workshop on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSA.2004.6
In this paper, we present an analysis of user behavior and mobility patterns based on a trace of accesses to a department e-mail server. In contrast to previous studies, we consider a single service and examine how a user community connects to it while moving across a variety of different service providers? wireless and wired networks. By measuring an e-mail service, one that users access often, we were able to monitor a large number of sessions originating from a diverse set of locations. Our contributions include: a unique approach to extracting user mobility information from traces of client application interactions; a novel approach to modeling user behavior and mobility; and a demonstration of how such models can be used to generate synthetic traces. Overall, although some users are highly mobile, we find most users have a low degree of mobility — 70% of users access their e-mail from 2 or fewer unique locations. We also find that our observed session times are longer than those reported by previous mobility studies in wireless networks.
Citation:
Kevin D. Simler, Steven E. Czerwinski, Anthony D. Joseph, "Analysis of Wide Area User Mobility Patterns," wmcsa, pp.30-40, Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'04), 2004
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