DocumentCode :
461359
Title :
A Fair and Efficient Congestion Control Scheme Based on Minority Game
Author :
Kutsuna, Hiroshi ; Tagashira, Shigeaki ; Fujita, Satoshi
Author_Institution :
Hiroshima Univ.
Volume :
1
fYear :
2006
fDate :
Sept. 2006
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we propose a new congestion control scheme for high-speed networks. The basic idea of the scheme is to adopt a game theory called minority game (MG) to realize a selective reduction of the transmission speed of senders. More concretely, upon detecting a congestion, it plays a game among all senders participating in the communication, and reduces the transmission speed of each sender according to the result of the game. MG is a game that has recently attracted considerable attentions, and it is known to have a remarkable property such that the number of winners converges to a half of the number of players in spite of the selfish behavior of the players. By using such property of MG, we can realize a fair reduction of the transmission speed, which is more efficient than previous schemes in which all senders uniformly reduce their transmission speed. The effect of the proposed scheme is evaluated by simulation. The result of simulations indicates that the proposed scheme certainly realizes a selective reduction of the transmission speed, and it is sufficiently fair compared with simple randomized schemes and is sufficiently efficient compared with conventional schemes
Keywords :
game theory; telecommunication congestion control; telecommunication networks; congestion control scheme; game theory; high-speed communication network; minority game; Bandwidth; Communication networks; Communication system control; Ethernet networks; Game theory; High definition video; High-speed networks; Medical treatment; Video on demand; Video sharing; AIMD; Congestion control; Minority Game;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks, 2006. ICON '06. 14th IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1556-6463
Print_ISBN :
0-7803-9746-0
Type :
conf
DOI :
10.1109/ICON.2006.302568
Filename :
4087668
Link To Document :
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