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Congestion Control in the Internet: Inspiration from Balanced Food Chains in the Nature
Authors:Morteza Analoui  Shahram Jamali
Affiliation:(1) Department of Computer Engineering, Iran University of Science and Technology (IUST), P.O. Box 16846, Tehran, Iran
Abstract:Congestion in the Internet is the main reason for reduced performance and poor quality of service; therefore, a good congestion control system is essential. The current work proposes that the congestion control problem in the Internet can be inspired from natural population control tactics. Toward this idea, the congestion window size of each connection is viewed as population size of a species and then congestion control problem is redefined as population control of these windows species (W). This paper defines a three-trophic food chain and gives a model to control population size of W species within this food chain. Simulation results show that the proposed algorithm leads to a fair, stable and high-performance congestion control scheme.
Contact Information Shahram Jamali (Corresponding author)Email:
Keywords:Bio-inspired networking  Congestion control  Predator–  prey  Food chain
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