On Modeling User Associations in Wireless LAN Traces on University Campuses Export

@inproceedings{hsu:associations, abstract = {In this paper we analyze wireless LAN (WLAN) traces collected from four different sources, including three university campus WLANs and one corporate WLAN to compare the similarities and differences of user association behavior to access points (APs) in these environments. This study provides extensive comparison of multiple WLAN traces, and outlines a basis for creating models for user association patterns in WLANs. We propose a set of important metrics for modeling the association patterns of wireless LAN (WLAN) users. Specifically, we look into (a) Activeness of users, (b) Macro-level mobility, (c) Micro-level mobility and (d) Repetitive association patterns. We find that (1) A significant portion of users are offline for non-neligible fraction of time (on average, the online time fraction is between 87.68\% and 14.12\% for the traces we studied). (2) Users visit only a small subset of APs (on average less than 5\%, and the maximum is less than 35\%), and (3) Users show periodic pattern of visiting the same APs in some traces. The findings along these aspects show similar trends among the traces, with differences in details due to both underlying user population/environments and methodologies of trace collection.}, address = {Boston, MA, USA}, author = {Hsu, Wei J. and Helmy, Ahmed}, booktitle = {Proceedings of the Second Workshop on Wireless Network Measurements (WiNMee 2006)}, citeulike-article-id = {2677955}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1666494}, citeulike-linkout-1 = {http://www.winmee.org/papers/01-05.pdf}, keywords = {crawdad, dartmouth\_campus, ibm\_watson, measurement, wireless}, location = {Boston, MA, USA}, month = {April}, pages = {1--9}, posted-at = {2009-07-07 12:14:57}, priority = {2}, title = {On Modeling User Associations in Wireless LAN Traces on University Campuses}, url = {http://www.winmee.org/papers/01-05.pdf}, year = {2006} }

TY - CONF ID - hsu:associations L3 - citeulike-article-id:2677955 N2 - In this paper we analyze wireless LAN (WLAN) traces collected from four different sources, including three university campus WLANs and one corporate WLAN to compare the similarities and differences of user association behavior to access points (APs) in these environments. This study provides extensive comparison of multiple WLAN traces, and outlines a basis for creating models for user association patterns in WLANs. We propose a set of important metrics for modeling the association patterns of wireless LAN (WLAN) users. Specifically, we look into (a) Activeness of users, (b) Macro-level mobility, (c) Micro-level mobility and (d) Repetitive association patterns. We find that (1) A significant portion of users are offline for non-neligible fraction of time (on average, the online time fraction is between 87.68% and 14.12% for the traces we studied). (2) Users visit only a small subset of APs (on average less than 5%, and the maximum is less than 35%), and (3) Users show periodic pattern of visiting the same APs in some traces. The findings along these aspects show similar trends among the traces, with differences in details due to both underlying user population/environments and methodologies of trace collection. CY - Boston, MA, USA AD - Boston, MA, USA EP - 9 TI - On Modeling User Associations in Wireless LAN Traces on University Campuses T2 - Proceedings of the Second Workshop on Wireless Network Measurements (WiNMee 2006) SP - 1 KW - crawdad KW - dartmouth_campus KW - ibm_watson KW - measurement KW - wireless AU - Hsu, Wei AU - Helmy, Ahmed PY - 2006/April// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1666494 ER -