1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

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
Morteza Analoui 1,2,*, Shahram Jamali1,2,*
  • 1: Computer Engineering Department, Iran University of Science and Technology
  • 2: Tehran, Iran
*Contact email: analoui@iust.ac.ir, jamali@iust.ac.ir

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.