Academic Journal

Improving Fairness and Convergence Efficiency of TCP Traffic in Multi-hop Wireless Networks.

Bibliographic Details
Title: Improving Fairness and Convergence Efficiency of TCP Traffic in Multi-hop Wireless Networks.
Authors: Jude, M. Joseph Auxilius, Diniesh, V. C., Shivaranjani, M., Madhumitha, S., Balaji, V. Karthik, Myvizhi, M.
Source: Wireless Personal Communications; Nov2021, Vol. 121 Issue 1, p459-485, 27p
Subject Terms: TCP/IP, Fairness, Data packeting, Wireless Internet, Radio networks, Algorithms
Abstract: Last-mile telecommunication networks witnessed phenomenal growth in using multi-hop wireless technologies to improve capacity and radio coverage for a longer extent. The penetration of wireless internet in last-mile multi-hop networks has significantly altered our routine lifestyle. Most internet applications heavily rely on transmission control protocol (TCP) to reliably deliver data packets between the sender-receiver processes. However, the fairness and steady-state convergence performance of TCP data traffic in the multi-hop radio networks (MRN) remain plagued by spurious rate reduction, flat rate cut, and low convergence limitations. The feedback-assisted improved recovery (FAIR) algorithm proposed in this article adopts three strategies to strengthen TCP's performance in the MRN. Initiate the congestion avoidance based on intermediate node queue accumulation, TCP's growth-based proportionate rate reduction method, and a rapid recovery mechanism. The MRN simulation experiments decisively demonstrate the substantial improvement in steady-state convergence time, flow fairness, throughput, and packet latency performances of the FAIR algorithm against RFC 6582, NRT, and OQS approaches. [ABSTRACT FROM AUTHOR]
Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  – Url: https://dx.doi.org/doi:10.1007/s11277-021-08645-3
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  Data: Wireless Personal Communications; Nov2021, Vol. 121 Issue 1, p459-485, 27p
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  Data: <searchLink fieldCode="DE" term="%22TCP%2FIP%22">TCP/IP</searchLink><br /><searchLink fieldCode="DE" term="%22Fairness%22">Fairness</searchLink><br /><searchLink fieldCode="DE" term="%22Data+packeting%22">Data packeting</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+Internet%22">Wireless Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+networks%22">Radio networks</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
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  Data: Last-mile telecommunication networks witnessed phenomenal growth in using multi-hop wireless technologies to improve capacity and radio coverage for a longer extent. The penetration of wireless internet in last-mile multi-hop networks has significantly altered our routine lifestyle. Most internet applications heavily rely on transmission control protocol (TCP) to reliably deliver data packets between the sender-receiver processes. However, the fairness and steady-state convergence performance of TCP data traffic in the multi-hop radio networks (MRN) remain plagued by spurious rate reduction, flat rate cut, and low convergence limitations. The feedback-assisted improved recovery (FAIR) algorithm proposed in this article adopts three strategies to strengthen TCP's performance in the MRN. Initiate the congestion avoidance based on intermediate node queue accumulation, TCP's growth-based proportionate rate reduction method, and a rapid recovery mechanism. The MRN simulation experiments decisively demonstrate the substantial improvement in steady-state convergence time, flow fairness, throughput, and packet latency performances of the FAIR algorithm against RFC 6582, NRT, and OQS approaches. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11277-021-08645-3
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        Text: English
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        PageCount: 27
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        Type: general
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      – SubjectFull: Algorithms
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              M: 11
              Text: Nov2021
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              Y: 2021
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