Abstract
we propose that bio-inspired algorithms are best developed and analyzed in the context of a multidisciplinary conceptual framework that provides for sophisticated biological models and well founded analytical principles. we outline such a framework here, in the context of bio-inspired congestion control (BICC) models, and discuss mathematical techniques for analyzing the state dynamics of BICC. We finally discuss a case study, and show that the interaction of those Internet entities that involved in congestion control mechanisms is similar to predator-prey interaction. Hence, we map the predator-prey approach to the Internet congestion control mechanism. The simulation results show that using appropriately defined parameters, this model leads to a stable, fair and high-performance congestion control algorithm.
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