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
Pages :
10
From page :
1
To page :
10
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
Serial Year :
2008
Journal title :
Journal of Network and Systems Management
Record number :
841412
Link To Document :
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