Identification of Structural Reliability Parameters in Distributed Telecommunication System

Sherstneva А.A., Sherstneva O.G.


The article considers estimation of structural parameters for communication network. The article aims to calculate the key indicators of structural reliability. Proposed method consists of mathematical expectation estimation for number of connections and connectivity probability in different structured networks. The methodology is based on solution to the problem of network optimization structure for reliability view. Classification of equipment is proposed in terms of failure impact on quality management of network traffic. According to the accepted classification, reliability parameters are listed characterizing each of the classified equipment groups. Reliability parameters are divided into single and complex ones. The reliability and quality of the communication network functioning is assessed by the estimated values of these parameters. A probabilistic graph of network model and state diagram of communication lines for one hierarchical level were plotted. When plotting, it was assumed that switching nodes are absolutely reliable. The reliability of communication lines is expressed in terms of availability. The calculation of parameters was carried out on the assumption that communication line failures are statistically independent events. Reliability indicators are estimated, such as the probability of connectivity between each pair of telecommunication nodes and the absolute value of mathematical expectation for number of connections. For convenience, practical application of the proposed method, calculation results of the mathematical expectation of number of connections is expressed as a percentage. The article considers a mathematical model of the functioning of a separate communication line with the absolute reliability of the system for monitoring its technical condition. The mathematical model is presented in the form of a state diagram. It is assumed that the network monitoring system performs the functions of periodic and continuous monitoring. A method for calculating complex indicators of reliability, such as the availability factor and the downtime factor, is proposed. The calculation method is based on the matrix method for analyzing probabilistic systems. The calculation formulas include statistical data from the system for monitoring the technical condition of communication lines. Modelling is used to simulate the process of communication network functioning in experimental research. The process of communication network functioning is simulated. Depending on the incoming load, a search for free algorithmic resources and communication lines is performed. The calculation of the reliability indicators of the selected way of servicing calls is performed, taking into account the selection criterion set by the program. The monitor displays a dependency graph of the reliability indicators on the intensity of the incoming load. The calculation of the relative statistical frequency of the success of servicing requests is carried out, and the frequency of communication lines failure is also calculated. The program output is proposals for communication network reconstruction due to network resources redistribution.


reliability; communication network; structural reliability; mathematical expectation; reliability indicators; failure rate

Full Text

Article text


PDF (Русский)
References References

Zain Aalabdain Al Namer. Systematization of approaches to the development of quality systems indicators and network services realibility. T-Comm: Telecommunications and Transport, 2021, no. 5, pp. 58-61.

Dovbnya V.G., Koptev D.S. Mathematical model of the receiving path of digital communication lines. T-Comm: Telecommunications and Transport, 2021, no. 5, pp. 52-57.

Yasinskiy S.A., Zyuzin A.N. Justification of the choice of the topological structure of the public fiber-optical communication network. Electrosvyaz’, 2021, no. 3, pp. 43-47 (in Rus.).

Tregubov R.B., Oreshin A.N., Titova O.V. Methodology for planning network resources leased from a communication operator for the interest of a transport network with packet switching. Telecommunications, 2021, no. 1, pp. 32-48 (in Rus.).

Likhttsinder B.Ya., Bakai Yu.O. Delays in queues of queuing systems with stationary requests flows. T-Comm: Telecommunications and Transport, 2021, no. 2, pp. 54-58.

Shebanova O.V. Analysis of the tasks of ensuring the reliability of communication networks. Scientific Notes OrelGIET, no. 3, pp. 41-45.

Kazuya Anazawa, Tory Mano, Takery Inoue, Atsushi Taniguchi, Kohei Mizuno. Reconfigurable transport networks to accommodate much more traffic demand.International conference on onformation networking (ICOIN), 2021, pp. 361-366.

Siyu Dong, Hong Zhang. Research on network traffic prediction and management based on logarithmic barrier method. IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2020, pp. 627-630.

Cym A.Yu., Yarlykova S.M., Bychkova O.A. Main provisions of the standart methodology for calculation and planning of the capacity of 5G transport networks based on SDN. NFV technology. Electrosvyaz’, 2021, no. 3, pp. 10-14 (in Rus.).

Mousa Alizadeh, Mohhammad T. H. Beheshti, Amin Ramezani, Hadis Saadatinezhad.Network traffic forecasting based on fixed telecommunication dsts using deep learning. 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2020, pp. 1-7.

Wanquing Guan, Haijun Zhang, Victor C.M. Leung. Analysis of traffic performance on network slicing using complex network theory. IEEE Transactions Technology, 2020, vol. 69, pp. 15188-15199.

Rakhimov B.N., Rakhimov T.G., Berdiyev A.A., Ulmaskhujayev Z.A and Zokhidova G. Synchronous data processing in multi-channel information measuring systems of radiomonitoring. An International Journal of Advanced Computer Technology, 2019, vol. 8, no. 3, pp. 3088-3091.

Zhou P., Fang X., Wang X. and Yan L. Multi-Beam Transmission and Dual-Band Cooperation for Control/Data Plane Decoupled WLANs. IEEE Transactions on Vehicular Technology, 2019, vol. 68, no. 10, pp. 9806-9819.

Evstafiev V.V., Rudenko N.V., Semenov V.A., Sumin D.L. Features of assessment of reliability characteristics of communication networks. Proceedings of the North Caucasus Branch of the Moscow Technical University of Communications and Informatics, 2018, no. 1, pp. 102-104 (in Rus.).

Batenkov K.A. Analysis of the reliability of multipole communication networks by the method of full states bitching. Information Technology. Problems and solutions. Materials of the International Scientific and Practical Conference, 2018, no. 1, pp. 405-411 (in Rus.).

Lamri Mohammed Amin., Kaisina I.A., Vasiliev D.S. Developing Al-ARQ module for automatic measurement of one-way data transmission delay. Vestnik IzhGTU imeni M.T. Kalashnikova, 2020, vol. 23, no. 2, pp. 82-90 (in Rus.).

Lobastova M.V., Matyukhin A.Yu., Mutkhanna A.S. Analysis of network synchronization network reliability. Information technology and telecommunications. Information technology and telecommunications, 2020, vol. 8, no. 4, pp. 93-99 (in Rus.).

Kudelya V.N., Vovk V.V. Sustainability of networks with programmable packet switching. T-Comm: Telecommunications and Transport, 2018, vol. 12, no. 4, pp. 43-47 (in Rus.).

Korepanov K.E., Kaisina I.A QoS analysis of video streaming in the UAV networks with WiFi standarts. Vestnik IzhGTU imeni M.T. Kalashnikova, 2021, no. 4, pp. 73-79 (in Rus.).

Maslov O.N. NBIC technologies for digital econiomic. Electrosvyaz’, 2021, no. 3, pp. 39-42 (in Rus.).


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Copyright (c) 2022 Vestnik IzhGTU imeni M.T. Kalashnikova

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

ISSN 1813-7903 (Print)
ISSN 2413-1172 (Online)