| A trace-based approach for modeling wireless channel behavior |
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Winter Simulation Conference
archive
Proceedings of the 28th conference on Winter simulation
table of contents
Coronado, California, United States
Pages: 597 - 604
Year of Publication: 1996
ISBN:0-7803-3383-7
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Authors
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Giao T. Nguyen
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Computer Science Division, University of California at Berkeley, Berkeley, CA
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Randy H. Katz
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Computer Science Division, University of California at Berkeley, Berkeley, CA
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Brian Noble
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School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
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Mahadev Satyanarayanan
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School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
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IEEE Computer Society
Washington, DC, USA
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| Bibliometrics |
Downloads (6 Weeks): 18, Downloads (12 Months): 33, Citation Count: 24
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ABSTRACT
The loss behavior of wireless networks has become the focus of many recent research efforts. Although it is generally agreed that wireless communications experience higher error rates than wireline, the nature of these lossy links is not fully understood. This paper describes an effort to characterize the loss behavior of the AT&T WaveLAN, a popular in-building wireless interface. Using a trace-based approach, packet loss information is recorded, analyzed, and validated. Our results indicate that WaveLAN experiences an average packet error rate of 2 to 3 percent. Further analysis reveals that these errors are not independent, making it hard to model them with a simple two-state Markov chain. We derive another model based on the distributions of the error and error-free length of the packet streams. For validation, we modulate both the error models and the traces in a simulator. Trace-driven simulations yield an average TCP throughput of about 5 percent less than simulations using our best error model.
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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Noble, B., G. Nguyen, M. Satyanarayanan, R. H. Katz. 1996. Mobile network tracing. RFC Draft.
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CITED BY 25
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Vanu Bose , David Wetherall , John Guttag, Next century challenges: RadioActive networks, Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, p.242-248, August 15-19, 1999, Seattle, Washington, United States
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Mikael Degermark , Mathias Engan , Björn Nordgren , Stephen Pink, Low-loss TCP/IP header compression for wireless networks, Proceedings of the 2nd annual international conference on Mobile computing and networking, p.1-14, November 1996, Rye, New York, United States
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Almudena Konrad , Ben Y. Zhao , Anthony D. Joseph , Reiner Ludwig, A Markov-based channel model algorithm for wireless networks, Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems, p.28-36, July 2001, Rome, Italy
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Jay R. Moorman , John W. Lockwood , Sung-Mo Kang, Real-time prioritized call admission control in a base station scheduler, Proceedings of the 3rd ACM international workshop on Wireless mobile multimedia, p.28-37, August 11-11, 2000, Boston, Massachusetts, United States
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Syed A. Khayam , Hayder Radha , Selin Aviyente , J. R. Deller, Jr., Markov and multifractal wavelet models for wireless MAC-to-MAC channels, Performance Evaluation, v.64 n.4, p.298-314, May, 2007
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Gautam D. Bhanage , Yanyong Zhang , Ivan Seskar, On topology creation for an indoor wireless grid, Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization, September 19-19, 2008, San Francisco, California, USA
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