Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic

Rustam Djurayev; Dilshod Matkurbonov; Urinov Khojiakbar

doi:doi:10.11648/j.com.20231101.11

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Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic

Rustam Djurayev, Dilshod Matkurbonov, Urinov Khojiakbar

Published in Communications (Volume 11, Issue 1)

Received: 1 February 2023 Accepted: 21 February 2023 Published: 28 February 2023

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Abstract

The article considers the principles and mechanisms of packet switching in data transmission networks based on virtual and datagram modes. The structure of the packet switching node and the description of the functioning of the block for receiving frames from the network path, the block for transmitting frames to the network path, the block for interaction with local subscribers and the routing block are given. The functional diagram of the router and the description of interface levels, network protocol and routing protocols are considered. The analysis of the traditional method of routing in a data transmission network with packet switching is carried out and the necessity of using intelligent adaptive technologies is substantiated. The possibility of applying the mathematical foundations of fuzzy logic in the process of routing packets in a data transmission network with packet switching is considered, the concepts of fuzzy and linguistic variables are given. An approach and a mechanism for estimating the route metric based on fuzzy logic are presented, its main input and output parameters are determined and analyzed. A model of a routing control system using a fuzzy logic apparatus has been developed to improve the efficiency of routing control in data transmission networks.

Published in	Communications (Volume 11, Issue 1)
DOI	10.11648/j.com.20231101.11
Page(s)	1-6
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Data Networks, Packet Switching, Routing, Metrics, Fuzzy Logic

References

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[6]	Korolev Denis Genriyevich. (2000). Metodi uskoreniya protseduri marshrutizatsi paketov soobshyeniy v telekommunikatsionnix setyax. Vestnik Ryazanskoy gosudarstvennoy radiotexnicheskoy akademi.
[7]	Glen E. Clarke & Richard Deal. (2021). CCT/CCNA Routing and Switching All-in-One Exam Guide. (Exams 100-490 & 200-301). McGraw-Hill.
[8]	ITU-T. Recommendation Y. 1540 Internet protocol aspects – Quality of service and network performance, (2011).
[9]	Rustam Djurayev, Shukhrat Djabbarov & Dilshod Matkurbonov. (2020). Methods for Calculating Route Metrics in Data Transmission Networks” Date of Conference: 4-6 Nov. ISBN Information: doi: 10.1109/ICISCT50599.2020.9351529.
[10]	Makeev Sergey Alekseevich. (2003) Analiz protokolov marshrutizatsii v kompyuternix setyax na osnove imitatsionnogo modelirovaniya. Sankt-Peterburg. IMMOD.
[11]	Hedric C. Routing Information Protocol. RFC-1058, Rutgers University.
[12]	Vasin N. N & Ivanova Ye A. (2017). Metodika borbi s peregruzkami v setyax paketnoy kommutatsi na osnove nechetkoy logiki. T-Comm: Telekommunikatsi i transport. Tom 11. №9. p. 15-21.
[13]	Tixonova, E. Yu. (2014). Primeneniye apparata nechetkoy logiki pri vibore marshruta peredachi paketnogo trafika. Mejdunarodnaya nauchno-texnicheskaya konferensiya, priurochennaya k 50-letiyu MRTI-BGUIR: materiali konf. - Minsk, p. 185.
[14]	V. I. Korniyenko, A. Yu. Gusev, O. V. Morozov. (2013). Marshrutizatsiya paketnogo trafika s ispolzovaniyem sistemi nechetkogo vivoda i muravinogo algoritma obucheniya. Sistemi obrobki іnformasі. p. 130-132.
[15]	Akchurin E. A., Kovalenko T. A. (2010). O modifikatsii protsessa marshrutizatsii v vichislitelnix setyax s pomoщyu nechetkoy logiki. Infokommunikatsionniye texnologii. Tom 8, №4. p. 32-36.
[16]	Polukarov D. Yu. (2006). Analiz effektivnosti nechetkoy marshrutizatsii s pomoщyu imitatsionnogo modelirovaniya. Materiali VII MNTK «Problemi texniki i texnologii telekommunikatsiy». Samara. p. 149-150.
[17]	Rustam Djurayev, Shukhrat Djabbarov, Dilshod Matkurbonov, Amir Lazarev, Orif Khasanov. (2021) Increasing the efficiency of network resources in IP networks based on fuzzy sets. International Conference on Information Science and Communications Technologies (ICISCT). Tashkent, Uzbekistan. pp. 1-5. doi: 10.1109/ICISCT52966.2021.9670099.
[18]	Rustam Djurayev, Shukhrat Djabbarov, Dilshod Matkurbonov. (2021). Marshrutlash protokollarida marshrut metrikasini xisoblash usullari. Muxammad al-Xorazmiy Avlodlari. Ilmiy-amaliy va axborot-tahliliy jurnali.

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APA Style

Rustam Djurayev, Dilshod Matkurbonov, Urinov Khojiakbar. (2023). Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic. Communications, 11(1), 1-6. https://doi.org/10.11648/j.com.20231101.11

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ACS Style

Rustam Djurayev; Dilshod Matkurbonov; Urinov Khojiakbar. Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic. Communications. 2023, 11(1), 1-6. doi: 10.11648/j.com.20231101.11

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AMA Style

Rustam Djurayev, Dilshod Matkurbonov, Urinov Khojiakbar. Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic. Communications. 2023;11(1):1-6. doi: 10.11648/j.com.20231101.11

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@article{10.11648/j.com.20231101.11,
  author = {Rustam Djurayev and Dilshod Matkurbonov and Urinov Khojiakbar},
  title = {Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic},
  journal = {Communications},
  volume = {11},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.com.20231101.11},
  url = {https://doi.org/10.11648/j.com.20231101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20231101.11},
  abstract = {The article considers the principles and mechanisms of packet switching in data transmission networks based on virtual and datagram modes. The structure of the packet switching node and the description of the functioning of the block for receiving frames from the network path, the block for transmitting frames to the network path, the block for interaction with local subscribers and the routing block are given. The functional diagram of the router and the description of interface levels, network protocol and routing protocols are considered. The analysis of the traditional method of routing in a data transmission network with packet switching is carried out and the necessity of using intelligent adaptive technologies is substantiated. The possibility of applying the mathematical foundations of fuzzy logic in the process of routing packets in a data transmission network with packet switching is considered, the concepts of fuzzy and linguistic variables are given. An approach and a mechanism for estimating the route metric based on fuzzy logic are presented, its main input and output parameters are determined and analyzed. A model of a routing control system using a fuzzy logic apparatus has been developed to improve the efficiency of routing control in data transmission networks.},
 year = {2023}
}

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TY  - JOUR
T1  - Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic
AU  - Rustam Djurayev
AU  - Dilshod Matkurbonov
AU  - Urinov Khojiakbar
Y1  - 2023/02/28
PY  - 2023
N1  - https://doi.org/10.11648/j.com.20231101.11
DO  - 10.11648/j.com.20231101.11
T2  - Communications
JF  - Communications
JO  - Communications
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2328-5923
UR  - https://doi.org/10.11648/j.com.20231101.11
AB  - The article considers the principles and mechanisms of packet switching in data transmission networks based on virtual and datagram modes. The structure of the packet switching node and the description of the functioning of the block for receiving frames from the network path, the block for transmitting frames to the network path, the block for interaction with local subscribers and the routing block are given. The functional diagram of the router and the description of interface levels, network protocol and routing protocols are considered. The analysis of the traditional method of routing in a data transmission network with packet switching is carried out and the necessity of using intelligent adaptive technologies is substantiated. The possibility of applying the mathematical foundations of fuzzy logic in the process of routing packets in a data transmission network with packet switching is considered, the concepts of fuzzy and linguistic variables are given. An approach and a mechanism for estimating the route metric based on fuzzy logic are presented, its main input and output parameters are determined and analyzed. A model of a routing control system using a fuzzy logic apparatus has been developed to improve the efficiency of routing control in data transmission networks.
VL  - 11
IS  - 1
ER  -

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Author Information

Rustam Djurayev

Networks and Systems of Transferring Data/Telecommunication Technologies, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
Dilshod Matkurbonov

Networks and Systems of Transferring Data/Telecommunication Technologies, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
Urinov Khojiakbar

Department of Computer Sciences, Uzbek-Israel Joint Faculty, National University of Uzbekistan, Tashkent, Uzbekistan

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APA Style

Rustam Djurayev, Dilshod Matkurbonov, Urinov Khojiakbar. (2023). Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic. Communications, 11(1), 1-6. https://doi.org/10.11648/j.com.20231101.11

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ACS Style

Rustam Djurayev; Dilshod Matkurbonov; Urinov Khojiakbar. Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic. Communications. 2023, 11(1), 1-6. doi: 10.11648/j.com.20231101.11

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AMA Style

Rustam Djurayev, Dilshod Matkurbonov, Urinov Khojiakbar. Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic. Communications. 2023;11(1):1-6. doi: 10.11648/j.com.20231101.11

Copy | Download

@article{10.11648/j.com.20231101.11,
  author = {Rustam Djurayev and Dilshod Matkurbonov and Urinov Khojiakbar},
  title = {Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic},
  journal = {Communications},
  volume = {11},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.com.20231101.11},
  url = {https://doi.org/10.11648/j.com.20231101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20231101.11},
  abstract = {The article considers the principles and mechanisms of packet switching in data transmission networks based on virtual and datagram modes. The structure of the packet switching node and the description of the functioning of the block for receiving frames from the network path, the block for transmitting frames to the network path, the block for interaction with local subscribers and the routing block are given. The functional diagram of the router and the description of interface levels, network protocol and routing protocols are considered. The analysis of the traditional method of routing in a data transmission network with packet switching is carried out and the necessity of using intelligent adaptive technologies is substantiated. The possibility of applying the mathematical foundations of fuzzy logic in the process of routing packets in a data transmission network with packet switching is considered, the concepts of fuzzy and linguistic variables are given. An approach and a mechanism for estimating the route metric based on fuzzy logic are presented, its main input and output parameters are determined and analyzed. A model of a routing control system using a fuzzy logic apparatus has been developed to improve the efficiency of routing control in data transmission networks.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Analysis of a Model for Improving the Efficiency of Routing Control in Data Transmission Networks Based on Fuzzy Logic
AU  - Rustam Djurayev
AU  - Dilshod Matkurbonov
AU  - Urinov Khojiakbar
Y1  - 2023/02/28
PY  - 2023
N1  - https://doi.org/10.11648/j.com.20231101.11
DO  - 10.11648/j.com.20231101.11
T2  - Communications
JF  - Communications
JO  - Communications
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2328-5923
UR  - https://doi.org/10.11648/j.com.20231101.11
AB  - The article considers the principles and mechanisms of packet switching in data transmission networks based on virtual and datagram modes. The structure of the packet switching node and the description of the functioning of the block for receiving frames from the network path, the block for transmitting frames to the network path, the block for interaction with local subscribers and the routing block are given. The functional diagram of the router and the description of interface levels, network protocol and routing protocols are considered. The analysis of the traditional method of routing in a data transmission network with packet switching is carried out and the necessity of using intelligent adaptive technologies is substantiated. The possibility of applying the mathematical foundations of fuzzy logic in the process of routing packets in a data transmission network with packet switching is considered, the concepts of fuzzy and linguistic variables are given. An approach and a mechanism for estimating the route metric based on fuzzy logic are presented, its main input and output parameters are determined and analyzed. A model of a routing control system using a fuzzy logic apparatus has been developed to improve the efficiency of routing control in data transmission networks.
VL  - 11
IS  - 1
ER  -

Copy | Download