The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Lorsque TCP fonctionne dans des réseaux sans fil multi-sauts, il souffre d’une grave dégradation des performances. En effet, TCP réagit aux pertes de paquets sans fil en diminuant inutilement son débit d'envoi. Bien que les algorithmes de différenciation des pertes (LDA) précédents puissent identifier certaines pertes de paquets dues à des erreurs de transmission sans fil comme des pertes sans fil, leur précision n'est pas aussi élevée que prévu, et ces schémas ne peuvent éviter de sacrifier la précision de la discrimination des pertes de congestion en classifiant mal la congestion. pertes comme pertes sans fil. Dans cet article, nous proposons un nouveau schéma de différenciation des pertes de bout en bout qui présente une grande précision à la fois dans la discrimination des pertes sans fil et dans la discrimination des pertes de congestion. Notre schéma estime le taux d'utilisation de la file d'attente en utilisant les informations disponibles sur TCP. Si l'utilisation estimée de la file d'attente est supérieure à 50 % lorsqu'un paquet est perdu, notre système diagnostique la perte de paquet comme une perte de congestion. Sinon, il diagnostique la perte de paquets comme une perte sans fil. Étant donné que l'utilisation estimée de la file d'attente est fortement corrélée à la congestion, notre schéma présente l'avantage d'identifier plus précisément les pertes de paquets liées à la congestion et celles non liées à la congestion. Grâce à des simulations approfondies, nous comparons et évaluons notre système avec les LDA précédents en termes de corrélation, de précision et de stabilité. Et les résultats montrent que notre système a la plus grande précision et que sa précision est plus fiable que les autres LDA.
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Mi-Young PARK, Sang-Hwa CHUNG, Prasanthi SREEKUMARI, "End-to-End Loss Differentiation Algorithm Based on Estimation of Queue Usage in Multi-Hop Wireless Networks" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 10, pp. 2082-2093, October 2009, doi: 10.1587/transinf.E92.D.2082.
Abstract: When TCP operates in multi-hop wireless networks, it suffers from severe performance degradation. This is because TCP reacts to wireless packet losses by unnecessarily decreasing its sending rate. Although previous loss differentiation algorithms (LDAs) can identify some of the packet losses due to wireless transmission errors as wireless losses, their accuracy is not high as much as we expect, and these schemes cannot avoid sacrificing the accuracy of congestion loss discrimination by misclassifying congestion losses as wireless losses. In this paper, we suggest a new end-to-end loss differentiation scheme which has high accuracy in both wireless loss discrimination and congestion loss discrimination. Our scheme estimates the rate of queue usage using information available to TCP. If the estimated queue usage is larger than 50% when a packet is lost, our scheme diagnoses the packet loss as congestion losses. Otherwise, it diagnoses the packet loss as wireless losses. Because the estimated queue usage is highly correlated to congestion, our scheme has an advantage to more exactly identify packet losses related to congestion and those unrelated to congestion. Through extensive simulations, we compare and evaluate our scheme with previous LDAs in terms of correlation, accuracy, and stability. And the results show that our scheme has the highest accuracy as well as its accuracy is more reliable than the other LDAs.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.2082/_p
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@ARTICLE{e92-d_10_2082,
author={Mi-Young PARK, Sang-Hwa CHUNG, Prasanthi SREEKUMARI, },
journal={IEICE TRANSACTIONS on Information},
title={End-to-End Loss Differentiation Algorithm Based on Estimation of Queue Usage in Multi-Hop Wireless Networks},
year={2009},
volume={E92-D},
number={10},
pages={2082-2093},
abstract={When TCP operates in multi-hop wireless networks, it suffers from severe performance degradation. This is because TCP reacts to wireless packet losses by unnecessarily decreasing its sending rate. Although previous loss differentiation algorithms (LDAs) can identify some of the packet losses due to wireless transmission errors as wireless losses, their accuracy is not high as much as we expect, and these schemes cannot avoid sacrificing the accuracy of congestion loss discrimination by misclassifying congestion losses as wireless losses. In this paper, we suggest a new end-to-end loss differentiation scheme which has high accuracy in both wireless loss discrimination and congestion loss discrimination. Our scheme estimates the rate of queue usage using information available to TCP. If the estimated queue usage is larger than 50% when a packet is lost, our scheme diagnoses the packet loss as congestion losses. Otherwise, it diagnoses the packet loss as wireless losses. Because the estimated queue usage is highly correlated to congestion, our scheme has an advantage to more exactly identify packet losses related to congestion and those unrelated to congestion. Through extensive simulations, we compare and evaluate our scheme with previous LDAs in terms of correlation, accuracy, and stability. And the results show that our scheme has the highest accuracy as well as its accuracy is more reliable than the other LDAs.},
keywords={},
doi={10.1587/transinf.E92.D.2082},
ISSN={1745-1361},
month={October},}
Copier
TY - JOUR
TI - End-to-End Loss Differentiation Algorithm Based on Estimation of Queue Usage in Multi-Hop Wireless Networks
T2 - IEICE TRANSACTIONS on Information
SP - 2082
EP - 2093
AU - Mi-Young PARK
AU - Sang-Hwa CHUNG
AU - Prasanthi SREEKUMARI
PY - 2009
DO - 10.1587/transinf.E92.D.2082
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2009
AB - When TCP operates in multi-hop wireless networks, it suffers from severe performance degradation. This is because TCP reacts to wireless packet losses by unnecessarily decreasing its sending rate. Although previous loss differentiation algorithms (LDAs) can identify some of the packet losses due to wireless transmission errors as wireless losses, their accuracy is not high as much as we expect, and these schemes cannot avoid sacrificing the accuracy of congestion loss discrimination by misclassifying congestion losses as wireless losses. In this paper, we suggest a new end-to-end loss differentiation scheme which has high accuracy in both wireless loss discrimination and congestion loss discrimination. Our scheme estimates the rate of queue usage using information available to TCP. If the estimated queue usage is larger than 50% when a packet is lost, our scheme diagnoses the packet loss as congestion losses. Otherwise, it diagnoses the packet loss as wireless losses. Because the estimated queue usage is highly correlated to congestion, our scheme has an advantage to more exactly identify packet losses related to congestion and those unrelated to congestion. Through extensive simulations, we compare and evaluate our scheme with previous LDAs in terms of correlation, accuracy, and stability. And the results show that our scheme has the highest accuracy as well as its accuracy is more reliable than the other LDAs.
ER -