Adaptive Rate allocation Approach to improve video Quality in IEEE 802.11e

IEEE 802.11 wireless local area networks (WLANs) are now a days used extensively in our daily life, which provides the wide variety of multimedia applications like IPTV, video Conferencing, VOIP etc. IEEE 802.11e was developed by IEEE working group as an enhancement to IEEE 802.11 and it provides a prioritized and good service differentiation but could not able to provide the desired quality of service ,and especially improving the quality of video is still considered as a challenge , Now a days active queue management is a current research topic of this era and structural similarity index(SSIM) based rate-distortion optimization (RDO) has been proved to be an active tool for H.264/AVC to support and enhance the perceptual video coding standard in WLAN, In our proposed research with jointly consider the active queue management with the SSIM –RDO to develop a rate adaptation Approach to enhance the quality of a video. A simulation study shows that RAAQM , our proposed mechanism has improvised performance over the other two mechanisms. KeywordsRate control, EDCF, delay factor, similarity index measure ,CA-AQM