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Wifi-reports: improving wireless network selection with collaboration
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International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 7th international conference on Mobile systems, applications, and services table of contents
Kraków, Poland
SESSION: Discovery and pairing table of contents
Pages 123-136  
Year of Publication: 2009
ISBN:978-1-60558-566-6
Authors
Jeffrey Pang  Carnegie Mellon University, Pittsburgh, PA, USA
Ben Greenstein  Intel Research Seattle, Seattle, WA, USA
Michael Kaminsky  Intel Research Pittsburgh, Pittsburgh, PA, USA
Damon McCoy  University of Colorado, Boulder, CO, USA
Srinivasan Seshan  Carnegie Mellon University, Pittsburgh, PA, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Wi-Fi clients can obtain much better performance at some commercial hotspots than at others. Unfortunately, there is currently no way for users to determine which hotspot access points (APs) will be sufficient to run their applications before purchasing access. To address this problem, this paper presents Wifi-Reports, a collaborative service that provides Wi-Fi clients with historical information about AP performance and application support. The key research challenge in Wifi-Reports is to obtain accurate user-submitted reports. This is challenging because two conflicting goals must be addressed in a practical system: preserving the privacy of users' reports and limiting fraudulent reports. We introduce a practical cryptographic protocol that achieves both goals, and we address the important engineering challenges in building Wifi-Reports. Using a measurement study of commercial APs in Seattle, we show that Wifi-Reports would improve performance over previous AP selection approaches in 30%-60% of locations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Jeffrey Pang: colleagues
Ben Greenstein: colleagues
Michael Kaminsky: colleagues
Damon McCoy: colleagues
Srinivasan Seshan: colleagues