Title :
Improve delay performance of wireless video streaming with active queue management
Author_Institution :
Dept. of Electr., Comput., & Inf. Technol., Indiana Univ. Purdue Univ. Fort Wayne, Fort Wayne, IN, USA
Abstract :
This paper proposed a packet scheduling algorithm to improve the quality of service (QoS) of video streaming over wireless network. We apply the active queue management (AQM) techniques at the Access Category (AC) queue of 802.11e WLAN EDCA to regulate the queuing delay. When a packet arrives, first the queuing probability is calculated to determine the probability the packet should be assigned to an AC queue. The queuing probability considers both queue length and load factor. Then the packet scheduling algorithm determines how to assign the packets to different AC queues. This design takes into account the queue length, the application requirement and the current network situation. Simulation results demonstrate that the proposed scheduling algorithm can improve the performance of video streaming over 802.11e EDCA. It can provide higher PSNR values and lower end-to-end delay compared to the standard 802.11e EDCA.
Keywords :
computer network management; delays; probability; quality of service; queueing theory; radio networks; scheduling; telecommunication congestion control; video streaming; wireless LAN; AC queue; AQM technique; IEEE 802.11e WLAN EDCA; PSNR; QoS; access category queue; active queue management technique; end-to-end delay performance; load factor; packet scheduling algorithm; quality of service; queue length; queuing delay regulation; queuing probability; video streaming; wireless network; Bandwidth; Delay; PSNR; Standards; Wireless LAN; Wireless communication; 802.11e; Active Queue Management; EDCA; PSNR; QoS; end-to-end delay;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269582