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

Research Article

Distributed Control and Management of Context-Based Wireless Mesh Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-30422-4_12,
        author={Ricardo Matos and Susana Sargento},
        title={Distributed Control and Management of Context-Based Wireless Mesh Networks},
        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={Wireless Mesh Networks Context-Awareness Network Virtualization Personalized Connectivity Distributed Control},
        doi={10.1007/978-3-642-30422-4_12}
    }
    
  • Ricardo Matos
    Susana Sargento
    Year: 2012
    Distributed Control and Management of Context-Based Wireless Mesh Networks
    MONAMI
    Springer
    DOI: 10.1007/978-3-642-30422-4_12
Ricardo Matos1,*, Susana Sargento1,*
  • 1: Universidade de Aveiro
*Contact email: ricardo.matos@ua.pt, susanag@ua.pt

Abstract

Using the flexibility of Wireless Mesh Networks (WMNs), we provide personalized access for highly dynamic mesh clients by splitting a WMN into several logical networks, each one configured to meet a set of specific levels of users’ context demands (context can span from security, mobility, cost, services’ requirements). In such approach, users can be grouped according to similarity of their context, and can be associated to the logical networks matching their context, built through virtualization (Virtual Networks - VNs). To break the traditional centralized architectures for the control of nodes and networks, this paper defines a novel context-aware distributed control framework to allow users’ associations to fitting VNs, and to create, extend, or remove VNs on-demand to be adapted to the dynamics of WMN environments and mesh clients. Moreover, WMN nodes are endowed with autonomous capabilities that allow them to co-operatively control VN topologies based on indicators of resource availability and users’ perceived Quality-of-Experience (QoE).