Nature-Inspired Approach for Stable Congestion Control in the Internet

Abstract

Congestion control is one of open issues in the Internet research and congestion is the main reason for reduced performance and poor quality of service. One of the most important properties of any control system is its stability. In this paper we develop a stable congestion control algorithm that is inspired from nature. Toward this purpose, the window size of any connection is viewed as population size of flow species and congestion control problem is redefined as population control of these flow species (W). In order to control population size of W species, we use a realistic predator-prey model and map it to the Internet congestion control issue. Mathematical analysis shows that this scheme is globally converging to a fair and high-performance equilibrium.