The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • GIDP 2026
  • ICONS_BA 2025

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • RSS Feed

DOI: 10.14569/IJACSA.2023.0140999
PDF

A QoS-aware Mechanism for Reducing TCP Retransmission Timeouts using Network Tomography

Author 1: Jingfu LI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 9, 2023.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: A wide range of web-based applications uses the Transmission Control Protocol (TCP) to ensure network resources are shared efficiently and fairly. As wired and wireless networks have become more complex, various end-to-end Congestion Control (CC) schemes have been developed, offering solutions through their proposed TCP variants. Network tomography, a powerful analytical tool, offers a unique perspective by measuring end-to-end performance to estimate internal network parameters, including latency. This estimation capability proves valuable, especially in cases where precise protocol performance evaluation is essential. TCP protocol can be improved significantly by properly estimating RTT time. It has resulted in better network conditions and improved reliability, as well as a higher level of user satisfaction. In this study, we propose a method to infer the link delay using network tomography and then adjust the RTT based on the delay estimation obtained in the previous step. Simulation results performed using the NS2 software show that the proposed method significantly improves the TCP protocol's Round-Trip Time (RTT) estimation by more than 15%. It reduces congestion, improves information transfer efficiency, and ensures the highest level of service in the network.

Keywords: Latency; network tomography; end to end; depending on the probe

Jingfu LI. “A QoS-aware Mechanism for Reducing TCP Retransmission Timeouts using Network Tomography”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.9 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0140999

@article{LI2023,
title = {A QoS-aware Mechanism for Reducing TCP Retransmission Timeouts using Network Tomography},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140999},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140999},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {9},
author = {Jingfu LI}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

Computer Vision Conference (CVC) 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

Artificial Intelligence Conference 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computer Vision Conference
  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

The Science and Information (SAI) Organization Limited is a company registered in England and Wales under Company Number 8933205.