Title of article :
Congestion Control in the Internet: Inspiration
from Balanced Food Chains in the Nature
Author/Authors :
Morteza Analoui، نويسنده , , Shahram Jamali ، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
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
Keywords :
Bio-inspired networking Congestion control Predator–prey Food chain
Journal title :
Journal of Network and Systems Management
Journal title :
Journal of Network and Systems Management