Analyzing aspects of the wireless technologies intellectualization

Authors: Spiridonova A.V., Veselov M.D.
Published in issue: #1(90)/2024
DOI:
Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems
Keywords: networks, telecommunication technologies, communication channels, internetworking, artificial intelligence, network technologies, network processes, telecommunications development
Published: 26.02.2024

Network technologies development establishes that artificial intelligence is becoming an increasingly important factor in their growth. Artificial intelligence is able to raise customer services quality, ensure more efficient use of the resources, and improve the network security. The article considers positive impact of the artificial intelligence on various aspects of the network technologies. Currently, artificial intelligence is one of the main technological trends being actively introduced in various spheres of the human activity, including the network technologies. Artificial intelligence makes it possible to improve the customer service quality, accelerate the decision-making processes and reduce the error risk. One of the examples in using artificial intelligence in the network technologies is automation in processing large volumes of data, which could significantly accelerate the decision-making process and reduce the data processing time.
EDN: ZCOGXF

References

[1] Naumov S.E. Tekhnologii, media i telekommunikatsii. URL: https://nextons.ru/services/technology-media-and-telecommunications-practice/?ysclid=lshlb0ae1w801284728#practices (accessed November 15, 2023).

[2] Murav’ev K.A., Terekhov V.V. Methods for managing network traffic of heterogeneous distributed telecommunication systems. Proektirovanie i tekhnologiya elektronnykh sredstv, 2017, no. 2, pp. 15–21. (In Russ.).

[3] Viner N. Kibernetika, ili upravlenie i svyaz’ v zhivotnom i mashine. Moscow, Nauka. Glavnaya redaktsiya izdaniy dlya zarubezhnykh stran, 1983, 344 p. (In Russ.).

[4] Vlasov A.I., Ivanov V.V., Kosolapov I.A. Methods of proactive forecasting of the state of a broadband communication network. Programmnye produkty i sistemy, 2011, no. 1, pp. 3–6. (In Russ.).

[5] Venda V.F. Sistemy gibridnogo intellekta: evolyutsiya, psikhologiya, informatika. Moscow, Mashinostroenie, 1990, 448 p. (In Russ.).

[6] Murav’ev K.A., Selivanov K.V., Shestakov S.A. Analysis of methods for predictive analysis of network equipment failures. Nadezhnost’ i kachestvo. Tr. mezhdunar. simpoziuma: sb. tr. Penza, PGU, 2023, vol. 1, pp. 292–298. (In Russ.).

[7] Shakhnov V.A., Vlasov A.I., Polyakov Yu.A., Kuznetsov A.S. Neyrokomp’yutery: arkhitektura i skhemotekhnika. Moscow, Mashinostroenie, 2000, 24 p. (In Russ.).

[8] Endryu A. Iskusstvennyy intellekt. Moscow, Mir, 1985, 266 p. (In Russ.).

[9] Salyutin S.M. Iskusstvennyy intellekt. Moscow, Mysl’, 1985, 199 p. (In Russ.).

[10] Murav’ev K.A., Manushyan D.G. Analysis of the principles of building self-organizing sensor networks. Nadezhnost’ i kachestvo. Tr. mezhdunar. simpoziuma: sb. tr. 2018, vol. 1, pp. 296–301. (In Russ.).

[11] Vosserman F. Neyrokomp’yuternaya tekhnika: teoriya i praktika. Moscow, Mir, 1994, 167 p. (In Russ.).

[12] Murav’ev K.A., Zav’yalov N.V., Zakharova D.V. Principles of efficient VPN connections. Tekhnologii inzhenernykh i informatsionnykh sistem, 2020, no. 3, pp. 13–25. (In Russ.).