Mobile Networks and Management. Third International ICST Conference, MONAMI 2011, Aveiro, Portugal, September 21-23, 2011, Revised Selected Papers

Research Article

Nodes Discovery in the In-Network Management Communication Framework

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  • @INPROCEEDINGS{10.1007/978-3-642-30422-4_11,
        author={Lucas Guardalben and Tom\^{e} Gomes and Ant\^{o}nio Pinho and Paulo Salvador and Susana Sargento},
        title={Nodes Discovery in the In-Network Management Communication Framework},
        proceedings={Mobile Networks and Management. Third International ICST Conference, MONAMI 2011, Aveiro, Portugal, September 21-23, 2011, Revised Selected Papers},
        proceedings_a={MONAMI},
        year={2012},
        month={9},
        keywords={Communication Framework In-Network Management Bootstrapping Discovery},
        doi={10.1007/978-3-642-30422-4_11}
    }
    
  • Lucas Guardalben
    Tomé Gomes
    António Pinho
    Paulo Salvador
    Susana Sargento
    Year: 2012
    Nodes Discovery in the In-Network Management Communication Framework
    MONAMI
    Springer
    DOI: 10.1007/978-3-642-30422-4_11
Lucas Guardalben1,*, Tomé Gomes1,*, António Pinho1,*, Paulo Salvador1,*, Susana Sargento1,*
  • 1: University of Aveiro
*Contact email: guardalben@ua.pt, tomegomes@ua.pt, antonio@ua.pt, salvador@ua.pt, susana@ua.pt

Abstract

The main role of a communication framework in distributed autonomic management is to support the dissemination of management information between network nodes. In distributed autonomic management, each network node intelligently self-adapts its behavior through collaboration and cooperation between the several nodes. In this paper, we propose a set of communication mechanisms between self-managed network nodes, comprehending the several stages of communication, including a bootstrapping, discovery and election of entities, and ensure the base of communication of information between nodes to perform the collaborative decisions and to enforce these decisions. We propose a bootstrapping and discovery mechanism that uses the concept of , where the entities change their role dynamically according to events in the network, with dynamic probing intervals according to the number of entering or leaving the network. We compare our discovery approach with current solutions, and we show that our mechanism is more efficient both in terms of control messages overhead and convergence time.