REAL AND FORECAST ESTIMATION OF THE DEGREE OF THE IMPACT OF THE RADIO CHANNEL'S IMPROVEMENT ON THE DATA TRANSMISSION RATE IN Wi-Fi WIRELESS NETWORKS
( Pp. 53-59)

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Kirenberg Alexander Grigoryevich kand. tehn. nauk; docent kafedry informacionnyh tehnologiy i prikladnoy matematiki
Kemerovo Institute (branch) of Plekhanov Russian University of Economics. Kemerovo Slavolyubova Yaroslavna Viktorovna kand. fiz.-mat. nauk, docent; docent kafedry informacionnyh tehnologiy i prikladnoy matematiki
Kemerovo Institute (branch) of Plekhanov Russian University of Economics. Kemerovo
Abstract:
Task. One of the main problems of the creation and operation of wireless networks Wi-Fi (802.11) are unstable characteristics of the data transmission medium. The presence of this problem depends primarily on the noise of the radio, which imposes certain restrictions on the choice of equipment and its location, both on the source side and on the client side. Objective: to consider the use of interpolation of fuzzy sets to solve the problem of estimating the speed of the Internet at a certain level of interference. Achievement of the goals set in the work is carried out on the basis of the complex use of computer algebra methods, computational mathematics, the theory of fuzzy sets and the theory of the transmission of digital data. Findings. This paper presents a new concept for estimating the degree of influence of radio noisiness on the speed of data transmission in a wireless Wi-Fi network (802.11). An algo-rhythm and a set of programs in the computer system of computer mathematics Maple were developed to simulate changes in the Internet speed indicator, to evaluate it when the interference level changes. Practical value. This algorithm can be used for adequate evaluation of other telecommunication indices and characteristics, moreover, both within the range of known values of the influencing factor, and beyond its limits, which makes it possible to fully own the missing information. Also, using the simplest analysis, an empirical dependence of the speed of the Internet channel on the ICMP transmission rate was found. Value. The proposed method is of scientific and practical interest and can be recommended for use by experts in the field of creation and operation of small wireless networks.
How to Cite:
Kirenberg A.G., Slavolyubova Y.V., (2019), REAL AND FORECAST ESTIMATION OF THE DEGREE OF THE IMPACT OF THE RADIO CHANNEL'S IMPROVEMENT ON THE DATA TRANSMISSION RATE IN WI-FI WIRELESS NETWORKS. Computational Nanotechnology, 1 => 53-59.
Reference list:
Kirenberg A.G., Kolesnikov O.M. Opyt primeneniya Wi-Fi tekhnologiy dlya internet-podklyucheniya nerentabel nykh abonentov // Ekonomika i menedzhment sistem upravleniya. 2018. № 3 (29). S. 88-94.
Kirenberg A.G., Slavolyubova YA.V. Predvaritel naya otsenka skorosti peredachi dannykh v besprovodnykh setyakh Wi-Fi // Fundamental nye issledovaniya. 2017. № 1. S. 68-73.
Kirenberg A.G., Li S.R., Slavolyubova YA.V. Vybor optimal noy chastoty radiokanala na osnove analiza radioefira na storone klienta // Ekonomika i menedzhment sistem upravleniya. 2018. № 2.3 (28). S. 373-379.
Kirenberg A.G., Kolesnikov O.M. Povyshenie kachestva raboty ulichnykh setey Wi-Fi // Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta. 2015. № 5 (111). S. 159-162.
Galushkin A.I. Neyronnye seti: osnovy teorii / A.I. Galushkin. M.: Goryachaya liniya - Telekom, 2012. 496 s.
Rudinskiy I.D. Neyronnye seti, geneticheskie algoritmy i nechetkie sistemy / D. Rutkovskaya, M. Pilin skiy, L. Rutkovskiy / per. s pol sk. I.D. Rudinskogo. 2-e izd., stereotip. M.: Goryachaya liniya - Telekom, 2013. 384 s.
D yakonov V.P. Maple 9.5/10/11 v matematike, fizike i obrazovanii // Elektronnyy resurs / V.P. D yakonov. 2-e izd., pererab. i dop. M.: SOLON-PRESS, 2010. 752 s.