| 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
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Authors
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Heeyoung Lee
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Seoul National University, Seoul, South Korea
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Seongkwan Kim
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Seoul National University, Seoul, South Korea
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Okhwan Lee
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Seoul National University, Seoul, South Korea
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Sunghyun Choi
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Seoul National University, Seoul, South Korea
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Sung-Ju Lee
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Hewlett-Packard Laboratories, Palo Alto, CA, USA
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Downloads (6 Weeks): 11, Downloads (12 Months): 103, Citation Count: 0
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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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IEEE 802.11-1999, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications, IEEE Std., Aug. 1999.
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4
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T. Korakis, O. Ercetin, S. Krishnamurthy, L. Tassiulas, and S. Tripathi, "Link Quality based Association Mechanism in IEEE 802.11h Compliant Wireless LANs," in Proc. RAWNET'06, Boston, MA, Apr. 2006, pp. 725--730.
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5
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6
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G. Athanasiou, T. Korakis, O. Ercetin, and L. Tassiulas, "Dynamic Cross-Layer Association in 802.11-based Mesh Networks," in Proc. IEEE INFOCOM'07, Anchorage, AK, USA, May 2007, pp. 2090--2098.
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7
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Amit P. Jardosh , Kimaya Mittal , Krishna N. Ramachandran , Elizabeth M. Belding , Kevin C. Almeroth, IQU: practical queue-based user association management for WLANs, Proceedings of the 12th annual international conference on Mobile computing and networking, September 23-29, 2006, Los Angeles, CA, USA
[doi> 10.1145/1161089.1161108]
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8
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S. Vasudevan , K. Papagiannaki , C. Diot , J. Kurose , D. Towsley, Facilitating access point selection in IEEE 802.11 wireless networks, Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement, p.26-26, October 19-21, 2005, Berkeley, CA
|
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9
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A. Veres, A. T. Campbell, M. Barry, and L.-H. Sun, "Supporting Service Differentiation in Wireless Packet Networks Using Distributed Control," IEEE J. Select. Areas Commun., vol. 19, no. 10, pp. 2081--2093, Oct. 2002.
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10
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L. Verma, S. Kim, S. Choi, and S.-J. Lee, "Reliable, Low Overhead Link Quality Estimation for 802.11 Wireless Mesh Networks," in Proc. IEEE WiMesh'08, San Francisco, CA, USA, June 2008.
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11
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Intersil, "HFA3861B; Direct Sequence Spread Spectrum Baseband Processor." Jan. 2000.
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12
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W. A. Gardner, Introduction to Random Processes: with applications to signals and systems, 2nd ed. McGraw-Hill, 1990.
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13
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G. Bianchi and I. Tinnirello, "Kalman Filter Estimation of the Number of Competing Terminals in an IEEE 802.11 Network," in Proc. IEEE INFOCOM'03, San Francisco, CA, USA, Mar. 2003, pp. 844--852.
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14
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S. Kim, S. Choi, S.-K. Park, J. Lee, and S. Kim, "An Empirical Measurement-based Analysis of Public WLAN Handoff Operations," in Proc. WILLOPAN'06, New Delhi, India, Jan. 2006.
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15
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16
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The Network Simulator - ns-2. http://www.isi.edu/nsnam/ns/.
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IEEE 802.11b, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Higher-speed Physical Layer Extension in the 2.4 GHz Band, IEEE Std., Sept. 1999.
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18
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19
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G. Bianchi, "Performance Analysis of the IEEE 802.11 Distributed Coordination Function," IEEE J. Select. Areas Commun., vol. 18, no. 3, pp. 535--547, Mar. 2000.
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