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Available bandwidth-based association in IEEE 802.11 Wireless LANs
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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems table of contents
Vancouver, British Columbia, Canada
SESSION: Wireless LANs table of contents
Pages 132-139  
Year of Publication: 2008
ISBN:978-1-60558-235-1
Authors
Heeyoung Lee  Seoul National University, Seoul, South Korea
Seongkwan Kim  Seoul National University, Seoul, South Korea
Okhwan Lee  Seoul National University, Seoul, South Korea
Sunghyun Choi  Seoul National University, Seoul, South Korea
Sung-Ju Lee  Hewlett-Packard Laboratories, Palo Alto, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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ABSTRACT

The performance of an IEEE 802.11 station heavily depends on the selection of an AP (Access Point) that the station is associated with to access the Internet. The conventional approach to the AP selection is based on the received signal strength called RSSI (Received Signal Strength Indication) from APs within the transmission range. This approach however, might yield unbalanced traffic load among APs as the station chooses an AP only based on the signal strength, instead of considering the AP load and the level of contention on medium access. Accordingly, the station that is associated with the highest-RSSI AP might suffer from poor network performance. In this paper, we propose a new association metric, EVA (Estimated aVailable bAndwidth) with which a station can find the AP that provides the maximum achievable throughput among scanned APs. EVA is designed to estimate the available bandwidth on a channel with respect to a station that is to join a WLAN (Wireless Local Area Network). A station equipped with EVA observes a channel state in a per-slot basis, and yet does not request any external information from nearby APs or neighbor stations. Our estimation mechanism is non-intrusive, fully distributed, and independent of the infrastructure. Through simulation study, we evaluate the accuracy of the estimation and show that EVA-based association yields enhanced throughput performance compared with the legacy scheme.


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:
Heeyoung Lee: colleagues
Seongkwan Kim: colleagues
Okhwan Lee: colleagues
Sunghyun Choi: colleagues
Sung-Ju Lee: colleagues