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Understanding link-layer behavior in highly congested IEEE 802.11b wireless networks
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Source Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 2005 ACM SIGCOMM workshop on Experimental approaches to wireless network design and analysis table of contents
Philadelphia, Pennsylvania, USA
SESSION: Wireless LAN measurements table of contents
Pages: 11 - 16  
Year of Publication: 2005
ISBN:1-59593-026-4
Authors
Amit P. Jardosh  University of California, Santa Barbara, CA
Krishna N. Ramachandran  University of California, Santa Barbara, CA
Kevin C. Almeroth  University of California, Santa Barbara, CA
Elizabeth M. Belding-Royer  University of California, Santa Barbara, CA
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 62,   Citation Count: 12
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ABSTRACT

The growing deployment and concomitant rise in wireless network usage necessitates the comprehensive understanding of its behavior. More importantly, as networks grow in size and number of users, congestion in the wireless portion of the network is likely to increase. We believe there is a strong need to understand the intricacies of the wireless portion of a congested network by interpreting information collected from the network. Congestion in a wireless network can be best analyzed by studying the transmission of frames at the link layer. To this end, we use vicinity sniffing techniques to analyze the link layer in an operational IEEE 802.11b wireless network. In this paper, we discuss how congestion in a network can be estimated using point-to-point link reliability. We then show how link reliability is correlated with the behavior of link-layer properties such as frame retransmissions, frame sizes, and data rates. Based on the results from these correlations, our hypothesis is that the performance of the link layer in congested networks can be improved by (1) sending smaller frames, and/or (2) using higher data rates with a fewer number of frames sent.


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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F. Chinchilla, M. Lindsey, and M. Papadopouli. Analysis of Wireless Information Locality and Association Patterns in a Campus. In Proceedings of IEEE INFOCOM, Hong Kong, March 2004.
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D. Schwab and R. Bunt. Characterizing the Use of a Campus Wireless Network. In Proceedings of IEEE INFOCOM, Hong Kong, March 2004.
 
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C. Tuduce and T. Gross. A Mobility Model Based on WLAN Traces and its Validation. In Proceedings of IEEE INFOCOM, Miami, FL, March 2005.
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CITED BY  12

Collaborative Colleagues:
Amit P. Jardosh: colleagues
Krishna N. Ramachandran: colleagues
Kevin C. Almeroth: colleagues
Elizabeth M. Belding-Royer: colleagues