Mobile Lightweight Wireless Systems. Second International ICST Conference, MOBILIGHT 2010, Barcelona, Spain, May 10-12, 2010, Revised Selected Papers

Research Article

CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols

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  • @INPROCEEDINGS{10.1007/978-3-642-16644-0_25,
        author={Dzmitry Kliazovich and Neumar Malheiros and Nelson Fonseca and Fabrizio Granelli and Edmundo Madeira},
        title={CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols},
        proceedings={Mobile Lightweight Wireless Systems. Second International ICST Conference, MOBILIGHT 2010, Barcelona, Spain, May 10-12, 2010, Revised Selected Papers},
        proceedings_a={MOBILIGHT},
        year={2012},
        month={10},
        keywords={cognitive networks self-configuration cognitive TCP},
        doi={10.1007/978-3-642-16644-0_25}
    }
    
  • Dzmitry Kliazovich
    Neumar Malheiros
    Nelson Fonseca
    Fabrizio Granelli
    Edmundo Madeira
    Year: 2012
    CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols
    MOBILIGHT
    Springer
    DOI: 10.1007/978-3-642-16644-0_25
Dzmitry Kliazovich1,*, Neumar Malheiros2,*, Nelson Fonseca2,*, Fabrizio Granelli1,*, Edmundo Madeira2,*
  • 1: University of Trento
  • 2: University of Campinas
*Contact email: kliazovich@disi.unitn.it, ncm@ic.unicamp.br, nfonseca@ic.unicamp.br, granelli@disi.unitn.it, edmundo@ic.unicamp.br

Abstract

Advancements in network technologies dramatically increased management complexity. Cognitive networking was introduced to deal with this problem, by providing algorithms for autonomous network management and protocol reconfiguration. In this paper, we propose a framework for cognitive configuration and optimization of communication protocols called CogProt. CogProt is a distributed framework that allows dynamic reconfiguration of operational protocol stack parameters for optimizing protocol performance under changing network conditions. As a proof of concept, the framework is illustrated for the cognitive configuration of TCP congestion window evolution. In this setup, the TCP window increase factor is adjusted in runtime based on the TCP goodput experienced in the immediate past. Simulation results demonstrate that the proposed cognitive framework is able to improve average TCP performance under changing network conditions.