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Joint Routing and Congestion Control in Multipath Channel based on Signal to Noise Ratio with Cross Layer Scheme

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 4 (2018)

DOI
10.11591/ijece.v8i4.pp2207-2219
ISSN
2088-8708, 2088-8708
Published
2018-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Routing protocol and congestion control in Transmission Control Protocol (TCP) have important roles in wireless mobile network performance. In wireless communication, the stability of the path and successful data transmission will be influenced by the channel condition. This channel condition constraints come from path loss and the multipath channel fading. With these constraints, the algorithm in the routing protocol and congestion control is confronted with the uncertainty of connection quality and probability of successful packet transmission, respectively. It is important to investigate the reliability and robustness of routing protocol and congestion control algorithms in dealing with such situation. In this paper, we develop a detailed approach and analytical throughput performance with a cross layer scheme (CLS) between routing and congestion control mechanism based on signal to noise ratio (SNR) in Rician and Rayleigh as multipath fading channel. We proposed joint routing and congestion control TCP with a cross layer scheme model based on SNR (RTCP-SNR). We compare the performance of RTCP-SNR with conventional routing-TCP and routing-TCP that used CLS with routing aware (RTCP-RA) model. The analyses and the simulation results showed that RTCP-SNR in a multipath channel outperforms conventional routing-TCP and RTCP-RA.

Collaboration network of the authors

29 authors · 62 co-authorship links · 6 across different organisations

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  • Bandung Institute of Technology
  • State University of Jakarta
  • Indonesian Institute of Sciences
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sugihartono SugihartonoBandung Institute of Technology3
Iskandar IskandarBandung Institute of Technology2
Sofia Naning HertianaBandung Institute of Technology2
Udjianna Sekteria PasaribuBandung Institute of Technology2
Eko MarpanajiBandung Institute of Technology1
Armein Z. R. LangiBandung Institute of Technology1
Bamba Riyanto TrilaksonoAffiliation unknown1
Andri MahendraBandung Institute of Technology1
Thay LiungBandung Institute of Technology1
Rina Pudji AstutiBandung Institute of Technology1
Andriyan Bayu SuksmonoBandung Institute of Technology1
Ismail IsmailBandung Institute of Technology1
Suhono Harso SupangkatBandung Institute of Technology1
Basuki Y. IskandarAffiliation unknown1
Prasetiyono Hari MuktiBandung Institute of Technology1
Baso MaruddaniState University of Jakarta1
Achmad MunirBandung Institute of Technology1
Salik MukhlishinBandung Institute of Technology1
Irma ZakiaBandung Institute of Technology1
Iskandar IskandarBandung Institute of Technology1
Veronica Windha MahyastutyBandung Institute of Technology1
Mohammad Sigit ArifiantoBandung Institute of Technology1
Suyoto SuyotoIndonesian Institute of Sciences1
Nurain Izzati ShuhaimiBandung Institute of Technology1
Heriansyah HeriansyahBandung Institute of Technology1
Tutun JuhanaBandung Institute of Technology1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Joint Routing and Congestion Control in Multipath Channel based on Signal to Noise Ratio with Cross Layer Scheme</dc:title><dc:creator>Istikmal, Istikmal</dc:creator><dc:creator>Kurniawan, Adit</dc:creator><dc:creator>Hendrawan, Hendrawan</dc:creator><dc:description>&lt;jats:p&gt;Routing protocol and congestion control in Transmission Control Protocol (TCP) have important roles in wireless mobile network performance. In wireless communication, the stability of the path and successful data transmission will be influenced by the channel condition. This channel condition constraints come from path loss and the multipath channel fading. With these constraints, the algorithm in the routing protocol and congestion control is confronted with the uncertainty of connection quality and probability of successful packet transmission, respectively. It is important to investigate the reliability and robustness of routing protocol and congestion control algorithms in dealing with such situation.  In this paper, we develop a detailed approach and analytical throughput performance with a cross layer scheme (CLS) between routing and congestion control mechanism based on signal to noise ratio (SNR) in Rician and Rayleigh as multipath fading channel. We proposed joint routing and congestion control TCP with a cross layer scheme model based on SNR (RTCP-SNR). We compare the performance of RTCP-SNR with conventional routing-TCP and routing-TCP that used CLS with routing aware (RTCP-RA) model. The analyses and the simulation results showed that RTCP-SNR in a multipath channel outperforms conventional routing-TCP and RTCP-RA.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i4.pp2207-2219</dc:identifier><dc:identifier>10.11591/ijece.v8i4.pp2207-2219</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 4 (2018); 2207</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9662/8852</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>