DocumentCode :
3024443
Title :
TCP Vegas-like Expert-Controlled Multicast Congestion Control Algorithm for Wireless Networks
Author :
Kang Qiaoyan ; Wang Jianfeng ; Meng Xiangru
Author_Institution :
Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´an, China
Volume :
4
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
50
Lastpage :
54
Abstract :
In order to improve the performance of existing multicast congestion control algorithm applied to wireless networks, in this paper, a TCP Vegas-like expert-controlled multicast congestion control mechanism (VEMCC) is proposed, which uses a recently proposed TCP Vegas throughput model. In VEMCC, the network congestion state is detected according to network relative queuing delay and packet loss; the packet loss reason is distinguished between wireless link errors and network congestion; and the current state of the network is judged accurately; then different multicast source control strategies are taken to adjust the sending rate. The simulation results show that, VEMCC algorithm enhances the capability to distinguish between network congestion and random errors, and improves the network throughput. VEMCC can be applied to wireless networks well, and achieve some extent on TCP-friendliness over low packet error rate wireless link.
Keywords :
radio links; radio networks; telecommunication congestion control; TCP Vegas-like expert-controlled multicast congestion control algorithm; network congestion; network relative queuing delay; packet loss; wireless link errors; wireless networks; Control systems; Error correction; Force control; Multicast algorithms; Out of order; Telecommunication congestion control; Telecommunication control; Throughput; Unicast; Wireless networks; TCP Vegas throughput model; expert control; multicast congestion control; wireless network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.182
Filename :
5376437
Link To Document :
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