Method for estimating the effective data rate in 802.11 channels by using a monitoring algorithm

Abstract

<jats:p>The rapid spread of 802.11 wireless technologies and the emergence of a significant number of networks leads to a large number of negative factors that can significantly impair the transmission characteristics of wireless transmission channels. The aim of this research is to develop a method estimating the effective rate of information transmission in 802.11 channels using a monitoring algorithm to improve the design efficiency of wireless networks. During the study, statistical processing models and methods for averaging research results were used. Novel mathematical models have been developed to estimate the effective rate of information transmission, taking into account monitoring parameters and destabilizing factors for 802.11 wireless channels. Models allow us to estimate the effective rate of information transmission at any location of user device in the coverage area of the network in real-time. The peculiarity of such models is consideration of fluctuations in monitoring parameters, which is estimated by the confidence interval between changing the primary informational parameter to determine the suitability of the channel to transmit any type of traffic. Based on the mathematical models obtained, the provisions of a new method for estimating the effective rate of information transmission in the channel of standard 802.11 were formed using a monitoring algorithm, which has high estimation, ease of implementation, taking into account the maximum possible number of destabilizing factors and possibility of adaptation for any other wireless channel standards.</jats:p>

Devising a technique to evaluate fluctuations in the main parameters of a wireless channel of the 802.11 standard

“…In the simplest case, the ΔP and ΔV parameters would represent the equivalent of the difference between the maximum and minimum value of the confidence interval of the initial regression values [17]. Expressions ( 5)-( 8) are the mathematical ratios of the main parameters of the channel to the average fluctuation values.…”

Generalized Structure of the Model-Oriented Difference Signal Former

“…There are many ways to define thresholds and decision functions. For example, as the decision function J[r(t)], one can choose the norm of the difference vector signal, and as the threshold function T(t), choose a certain constant positive numberthe case of a fixed threshold [5,6].…”

Підвищення Ефективності Документообігу У Військових Частинах На Базі Хмарних Технологій

“…Недоліком БПЛА є обмеження обчислювальної здатності та розмірів. Але застосування хмарних технологій, на базі віддалених серверів, дозволяє вирішити таку проблему та розширити можливості вирішення задач безпосередньо на лініях зіткнення за рахунок розробки нових методів керування та розподілом ресурсів БПЛА, та безпровідних мереж на їх базі [5][6].…”