Lost retransmission detection for TCP part 2: TCP using SACK option

Beomjoon Kim, Yong Hoon Choi, Jaiyong Lee, Min Seok Oh, Jin Sung Choi

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

The performance of transmission control protocol (TCP) is largely dependent upon its loss recovery. Therefore, whether packet losses may be recovered without a retransmission timeout (RTO) or not is a very important issue. Although TCP using selective acknowledgement (SACK) option can recover multiple packet losses in a window, it cannot avoid RTO if a retransmitted packet is lost again. In order to cope with this problem, we propose a simple change to TCP SACK, which is called TCP SACK+ in simple. We use a stochastic model to evaluate the performance of TCP SACK+, and analyze its performance comparatively in terms of loss recovery probability. Numerical results evaluated by simulations show that TCP SACK+ can improve the loss recovery performance of TCP SACK significantly in presence of random losses.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsNikolas Mitrou, Kimon Kontovasilis, George N. Rouskas, Ilias lliadis, Lazaros Merakos
PublisherSpringer Verlag
Pages88-99
Number of pages12
ISBN (Print)9783540246930
DOIs
Publication statusPublished - 2004 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3042
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kim, B., Choi, Y. H., Lee, J., Oh, M. S., & Choi, J. S. (2004). Lost retransmission detection for TCP part 2: TCP using SACK option. In N. Mitrou, K. Kontovasilis, G. N. Rouskas, I. lliadis, & L. Merakos (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 88-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3042). Springer Verlag. https://doi.org/10.1007/978-3-540-24693-0_8