Internet congestion control using nature population control tactics

被引:0
|
作者
Jamali, Shahram [1 ]
Analoui, Morten [1 ]
机构
[1] Iran Univ Sci & Technol, Tehran, Iran
关键词
communication networks; congestion control; bio-inspired networking; competition; predator-prey;
D O I
10.1016/j.ecoinf.2007.09.002
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In this paper we present a novel bio-inspired approach for congestion control in communication networks. This scheme is based on inspiration by natural population interactions: predator-prey and competition. We show that the relations of those Internet entities that are involved in congestion control mechanisms are similar to predator-prey and competition interactions. In order to apply these population control mechanisms to the Internet congestion control scheme, we combine the mathematical models of these interactions and obtain a hybrid mathematical model. The simulation results show that using appropriately defined parameters, this model leads to a scalable, stable, fair, and high-performance congestion control algorithm. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:337 / 352
页数:16
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