Performance Analysis of Adaptive Queuing Techniques for Streaming Real-Time Video
Matilda.S1, B.Palaniappan2, Thambidurai.T3
1Prof. Matilda.S, Department of Information Technology, IFET College of Engineering, Villupuram (Tamil Nadu), India.
2Prof. B. Palaniappan, Department of Computer Science, Annamalai University, Chidambaram (Tamil Nadu), India.
3Dr. Thambidurai T., Principal, Perunthalaivar Kamarajar Institute of Engineering & Technology, Karaikal, India
Manuscript received on 21 30 May 2013 | Revised Manuscript received on 28 May 2013 | Manuscript published on May 2013 | PP: 118-123 | Volume-2 Issue-2, May 2013 | Retrieval Number: B0625052213/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless communication today is a mixture of real time traffic whic is expeced to ocuppy over 70% by 2016 [1]. The challenge lies in integrating the age old wired network with the new-born 4G networks to provide better user experience. Excessive delay is observed in the Base stations and WiMax networks due to difference in available bandwidth between the fixed network and the wireless link. The main reason attributed to the failure in streaming of real-time video, is lack of proper buffer design, which has resulted in bufferbloat across the Internet. This increases the delay across the network eventually leading to packet loss. If QOS is configured correctly in the network, time sensitive packets get priority and playout is smooth. Many techniques such as Active Queue Management and Controlled Delay tend to reduce the effects of bufferbloat. The random drop of packets and static value of queue size adopted in these methods do not support real-time traffic. In this paper Adaptive Controlled delay algorithm has been proposed to overcome the drawbacks of the existing methods and provide a better Quality of Service for real-time video.
Keywords: Real-time video, Bufferbloat, Controlled Delay, Adaptive Controlled Delay
Scope of the Article: Predictive Analysis