Prediction and Filtering of Delay Error on a Corporate Network by using Simulation Model

In this work, a model of a corporate network has been developed, simulated and implemented using optimized network engineering tool (OPNET) technology, in a simulation environment of 100m x 100m office network topology. Delay signal was monitored, neural network (NN) was used to predict the error in the delay signal, one- dimensional (1D) multilevel wavelet de-noising technique to filter the error, autocorrelation function (ACF) and fast Fourier transform (FFT) energy spectrum to validate the result of the filtering after the stages of the decomposition and the reconstruction of the delay signal. The result of the filtering revealed that the error in the data delay is de-noised successfully, since the coefficient of the ACF grows above zero and energy rate in the FFT- spectrum increased.