Congestion control of Wavelet image compression over wireless networks

Abstract

The demand of transmission of images and video is increasing quickly recently and researchers are trying to invest good solutions to improve the quality of these over wireless networks. There are still challenges due to the different characteristics and quality of images between wired and wireless channels. An important issue is congestion control to ensure network stability and achieve a reasonably fair distribution of the network resources among the users. The paper will present a model of congestion control by combining Wavelet image compression at the source with applying Fuzzy logic technique to control traffics. The simulation shows a good result, the transmission rate can be adjusted to adapt the changes of wireless channel, the buffer of intermediate devices will not be swung from idle to overflow or vice versa so that the cell loss rate is small.