Research Article
A conceptual framework for bio-inspired congestion control in communication networks
@INPROCEEDINGS{10.1145/1315843.1315889, author={Morteza Analoui and Shahram Jamali}, title={A conceptual framework for bio-inspired congestion control in communication networks}, proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems}, publisher={ACM}, proceedings_a={BIONETICS}, year={2006}, month={12}, keywords={Communication Networks Congestion Control Biology Population Control}, doi={10.1145/1315843.1315889} }- Morteza Analoui
Shahram Jamali
Year: 2006
A conceptual framework for bio-inspired congestion control in communication networks
BIONETICS
ACM
DOI: 10.1145/1315843.1315889
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.