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Link-level measurements from an 802.11b mesh network

Open access
Aguayo, Daniel, Bicket, John, Biswas, Sanjit, Judd, Glenn, Morris, Robert·2004·Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications

Abstract

This paper analyzes the causes of packet loss in a 38-node urban multi-hop 802.11b network. The patterns and causes of loss are important in the design of routing and error-correction protocols, as well as in network planning.The paper makes the following observations. The distribution of inter-node loss rates is relatively uniform over the whole range of loss rates; there is no clear threshold separating "in range" and "out of range." Most links have relatively stable loss rates from one second to the next, though a small minority have very bursty losses at that time scale. Signal-to-noise ratio and distance have little predictive value for loss rate. The large number of links with intermediate loss rates is probably due to multi-path fading rather than attenuation or interference.The phenomena discussed here are all well-known. The contributions of this paper are an understanding of their relative importance, of how they interact, and of the implications for MAC and routing protocol design.

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Metadata

Authors
Aguayo, D., Bicket, J., Biswas, S., Judd, G., & Morris, R.
Venue
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Publisher
ACM
Published
2004-08-30
Pages
121-132
OpenAlex
W2108481447
Cited by
997
References
0
FWCI
43.78
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Link-level measurements from an 802.11b mesh network. https://app.cochat.ai/papers/10.1145/1015467.1015482
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Aguayo, D., Bicket, J., Biswas, S., Judd, G., & Morris, R. (2004). Link-level measurements from an 802.11b mesh network. Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications. https://doi.org/10.1145/1015467.1015482

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.