Name
Abstract | ||
|---|---|---|
A better understanding of people's daily behaviors with respect to the underlying wireless network is a crucial step toward Wi-Fi based pervasive networking. Existing analyses found in the literature have focused on closed environments such as university campuses, offices, or conferences. This paper develops a new approach to analyze Wi-Fi user behaviors in the wild based on wireless sniffing. With our technique, we are able to investigate Wi-Fi activity in areas usually inaccessible to traditional systems. Moreover, instead of focusing on a single network, we capture behaviors of all users around specific locations regardless of their relationship with existing networks. We show the potential of our approach by analyzing Wi-Fi activity in three environments with different sociological means: an office area, a sparse residential area, and a dense residential area. Our results reveal unseen and unexpected properties: (a) for two of the environments, the discovery rate of new users is constant even after a week of measurements, (b) in all three scenarios, most users rarely appear in the measured traces, and (c) as the environments are part of users' life along a typical day, activity intensity alternates between residential and office areas. This suggests that we can have a more complete view of user behaviors and better characterize the influence of the location under consideration. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/PERCOM.2009.4912876 | PerCom Workshops |
Keywords | Field | DocType |
pervasive network,urban scenario,empirical analysis,better understanding,wi-fi user behavior,new user,activity intensity alternate,wi-fi activity,new approach,office area,sparse residential area,dense residential area,hardware,wireless network,ad hoc networks,data mining,probability density function,wireless networks,pervasive computing,frequency,wireless communication | Wireless network,Wireless,Computer science,Sniffing,Computer network,Residential area,Activity intensity,Wireless lan,Wireless ad hoc network | Conference |
ISSN | ISBN | Citations |
2474-2503 | temp-isbn | 1 |
PageRank | References | Authors |
0.47 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Claveirole | 1 | 12 | 3.25 |
| Mathias Boc | 2 | 20 | 3.91 |
| Marcelo Dias de Amorim | 3 | 758 | 66.66 |