Wavelet Based Image Transmission Analysis For Wireless VOIP

Abstract

The major focus of present work is to study the performance of data communication; mainly image over wireless VOIP by means of wavelet decomposition. QOS (Quality of Service) is a significant concern in networking, but it is also major problem for providing QOS after considering wireless and mobile networks complexities. In this work, Wavelet based Data (Image) communication model is presented where different wavelet decomposition levels are used and performance analysis of each wavelet based on decomposition level is analyzed on the basis of SNR (Signal to Noise Ratio), PSNR (Peak Signal to Noise Ratio), RMSE (Root Mean Square Error), PRSE (Percentage of Retained Signal Energy) and CR (Compression Ratio). For transmission Capabilities, Packet Loss and Delay are also calculated in the present work. From the simulation results, it is clear that the presented model for image transmission by utilizing wavelet decomposition over a wireless VOIP performs superior when using wavelets as compared to without using wavelets. Further, there results no echo in all the cases as the round trip delay is less than 50ms (ITU Recommendations) .The packet loss and Throughput is also within the range as recommended by ITU. In addition, ANOVA statistical tool has been applied to test the effectiveness of recorded data on 4 groups i.e. SNR, PRSE, CR and delay.