Networks method of hybrid construction and support of data transmission routes in programmed tools of mobile radio communication based on neural networks
DOI:
https://doi.org/10.20535/2411-1031.2023.11.2.293815Keywords:
mobile radio communication, programmable means of communication, route construction, route maintenance, data transmission, hybrid structure, neural networkAbstract
The article proposes a method of hybrid construction and support of data transmission routes in programmable means of mobile radio communication based on neural networks. Taking into account the peculiarities of the operation of mobile radio communication networks and means of communication, the article proposes to intellectualize the processes of managing data flows by using knowledge processing technologies in the construction of a control system. The construction of the control system is based on the use of neural networks, the methodology proposes three main steps of its construction, namely the method of hybrid construction of data transmission routes, the method of maintaining data transmission routes and modeling the process of construction and maintenance of data transmission routes in the network using neural networks. Unlike similar methods, which: are used in stationary communication networks with a small number of end nodes, without the possibility of monitoring the functions of data transmission routes; which are characterized by the absence of a clear decision-making hierarchy and the presence of unpredictability when applied in data transmission systems of mobile radio communication networks; do not take into account the peculiarities of the functioning of mobile radio communications. The proposed technique is able to build data transmission routes, increases the time of network operation and reduces the loading of network channels based on the application of a hybrid structure of neural network construction, by minimizing service traffic in the information direction; selection of the type, number and method of control of data transmission routes; introduction of the hierarchy of the decision-making process for the construction of the data transmission route and the selection of data parameters, taking into account the characteristic features of the use of programmable mobile communication tools to ensure the given quality of network service under different conditions of operation of mobile radio communication tools, using neural networks.
References
V. Salnyk, S. Salnyk, K. Lukina, and V. Oleksenko, “Analysis of decision-making support methods in automated special purpose communications management systems”, Weapon systems and military equipment, vol. 2, iss. 50, pp. 114-119, 2017.
S. Salnyk, V. Gol, and A. Divitskyi, “Analysis of data flow management methods in special purpose mobile radio networks”, Special telecommunications systems and information protection, vol. 1, iss. 7, pp. 41-51, 2020.
I. F. Аkyildiz, W.-Y. Lee, and K. R. Chowdhury, “CRAHNs: Cognitive radio ad hoc networks”, Ad Hoc Networks, vol. №7, iss. 5, pp. 810-836, 2009. doi: https://doi.org/10.1016/j.adhoc.2009.01.001.
V. Romanyuk, “Smart mobile radio networks”, in Proc. V scien. and tech. conf. Priority areas of development of telecommunication systems and special purpose networks, Kyiv, 2010, pp. 28-36.
S. Salnyk, K. Efanova, and S. Brigadyr, “The method of hybrid construction of data transmission routes in special purpose telecommunication networks”, Modern information technologies in the sphere of security and defense, vol. 1, iss. 34, pp. 161-166, 2019.
V. Salnyk, S. Salnyk, T. Strela, and V. Oleksenko, “A method of maintaining data transmission routes in special purpose mobile radio networks based on fuzzy logic”, Science and technology of air forces of the Armed Forces of Ukraine, vol. 4 , iss. 29, pp. 60-68, 2017.
A. Divitskyi, A. Storchak, A. Kramskyi, and S. Salnyk, “A method of learning data transmission routes in mobile radio networks”, Information technology and security”, vol. 10, no. 1(18), pp. 60-71, 2022. doi: https://doi.org/10.20535/2411-1031.2022.10.1.261175.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Collection "Information Technology and Security"
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors that are published in this collection, agree to the following terms:
- The authors reserve the right to authorship of their work and pass the collection right of first publication this work is licensed under the Creative Commons Attribution License, which allows others to freely distribute the published work with the obligatory reference to the authors of the original work and the first publication of the work in this collection.
- The authors have the right to conclude an agreement on exclusive distribution of the work in the form in which it was published this anthology (for example, to place the work in a digital repository institution or to publish in the structure of the monograph), provided that references to the first publication of the work in this collection.
- Policy of the journal allows and encourages the placement of authors on the Internet (for example, in storage facilities or on personal web sites) the manuscript of the work, prior to the submission of the manuscript to the editor, and during its editorial processing, as it contributes to productive scientific discussion and positive effect on the efficiency and dynamics of citations of published work (see The Effect of Open Access).
