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Link-level measurements from an 802.11b mesh network

Authors:

Robert MorrisAuthors Info & Claims

SIGCOMM '04: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications

Pages 121 - 132

https://doi.org/10.1145/1015467.1015482

Published: 30 August 2004 Publication History

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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Cited By

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Yang KLiu MDu W(2024)RALoRa: Rateless-Enabled Link Adaptation for LoRa NetworkingIEEE/ACM Transactions on Networking10.1109/TNET.2024.339234232:4(3392-3407)Online publication date: Aug-2024
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Index Terms

Link-level measurements from an 802.11b mesh network
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

SIGCOMM '04: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications

August 2004

402 pages

ISBN:1581138628

DOI:10.1145/1015467

General Chair:
Raj Yavatkar
Intel Corporation
,
Program Chairs:
Ellen Zegura
Georgia Institute of Technology
,
Jennifer Rexford
AT&T Labs -- Research

ACM SIGCOMM Computer Communication Review Volume 34, Issue 4
October 2004
385 pages
ISSN:0146-4833
DOI:10.1145/1030194
Issue’s Table of Contents

Copyright © 2004 ACM.

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Published: 30 August 2004

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August 30 - September 3, 2004

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Cited By

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https://doi.org/10.54751/revistafoco.v17n3-148
Zhu RZhu XZhang AZhang XSun JQian FQiu HMao ZLee MShu YLiu JTan RHe YChen J(2024)Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle CommunicationProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699328(141-154)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699328
Yang KLiu MDu W(2024)RALoRa: Rateless-Enabled Link Adaptation for LoRa NetworkingIEEE/ACM Transactions on Networking10.1109/TNET.2024.339234232:4(3392-3407)Online publication date: Aug-2024
https://doi.org/10.1109/TNET.2024.3392342
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Arrabal TStojanova MGuérin Lassous IPicot J(2023)Experiment-driven platform for link quality estimation in IEEE 802.11 WLANs2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR57248.2023.10148011(134-139)Online publication date: 5-Jun-2023
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Horita KYang BCarette TJimbo MNakao A(2022)Optimal Network Selection Method Using Federated Learning to Achieve Large-Scale Learning While Preserving Privacy2022 IEEE 11th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet55617.2022.9978891(220-228)Online publication date: 7-Nov-2022
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Grohmann AGabriel FZimmermann SFitzek F(2020)SourceShift: Resilient Routing in Highly Dynamic Wireless Mesh Networks2020 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC45663.2020.9120818(1-8)Online publication date: May-2020
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