Morteza Analoui - Computer Engineering Department Iran University of Science & Technology,Tehran, Iran
Shahram Jamali - Computer Engineering Department Iran University of Science & Technology,Tehran, Iran

We believe that future network applications will benefit by adopting key biological principles and mechanisms. This paper is a successful attempt in order to design a congestion control mechanism. This attempt is based on predator-prey mathematical model. We show that interaction of those Internet entities that involved in congestion control mechanisms is similar to predator-prey interaction. This similarity motivates us to map the predator-prey approach to the Internet congestion control mechanism and design a bio-inspired congestion control scheme. The results show that using appropriately defined parameters, this model leads to a stable, fair and high performance congestion control algorithm.

Communication Networks, Congestion Control, Biology, Predator-Prey