Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics
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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2011, Number 1, Pages 157–161 (Mi vagtu108)  

TELECOMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES

Increase of management efficiency of wireless data networks based on neural networks

A. V. Skupchenko, V. D. Semeykin, V. V. Steshenko

Astrakhan State Technical University
References:
Abstract: The application of intelligent methods to manage wireless data networks is considered in the paper. Neural networks are used as a mathematical apparatus for the investigation, and in particular their use in the prediction of any outcome. The process of route selection occurs after the prediction of two neural networks. Statistical information on the coordinates of the objects and levels of signal strength, statistical parameters of the traffic, is collected for the prediction. The results of the prediction are analysed, routes with the most specific weight are selected, and a decision on the route agreement is done.
Keywords: wireless network, neural network, prediction, traffic, route, channel, access, decision making, loading.
Received: 17.01.2011
Document Type: Article
UDC: 004.738.5:621.395
Language: Russian
Citation: A. V. Skupchenko, V. D. Semeykin, V. V. Steshenko, “Increase of management efficiency of wireless data networks based on neural networks”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2011, no. 1, 157–161
Citation in format AMSBIB
\Bibitem{SkuSemSte11}
\by A.~V.~Skupchenko, V.~D.~Semeykin, V.~V.~Steshenko
\paper Increase of management efficiency of wireless data networks based on neural networks
\jour Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics
\yr 2011
\issue 1
\pages 157--161
\mathnet{http://mi.mathnet.ru/vagtu108}
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  • https://www.mathnet.ru/eng/vagtu/y2011/i1/p157
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    Вестник Астраханского государственного технического университета. Серия: Управление, вычислительная техника и информатика
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    References:36
    First page:1
     
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