Mobile Networks and Management. Second International ICST Conference, MONAMI 2010, Santander, Spain, September 22-24, 2010, Revised Selected Papers

Research Article

Location-Based Ubiquitous Context Exchange in Mobile Environments

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  • @INPROCEEDINGS{10.1007/978-3-642-21444-8_16,
        author={Stefan Forsstr\o{}m and Victor Kardeby and Jamie Walters and Theo Kanter},
        title={Location-Based Ubiquitous Context Exchange in Mobile Environments},
        proceedings={Mobile Networks and Management. Second International ICST Conference, MONAMI 2010, Santander, Spain, September 22-24, 2010, Revised Selected Papers},
        proceedings_a={MONAMI},
        year={2012},
        month={5},
        keywords={Ubiquity location-based context exchange mobile system},
        doi={10.1007/978-3-642-21444-8_16}
    }
    
  • Stefan Forsström
    Victor Kardeby
    Jamie Walters
    Theo Kanter
    Year: 2012
    Location-Based Ubiquitous Context Exchange in Mobile Environments
    MONAMI
    Springer
    DOI: 10.1007/978-3-642-21444-8_16
Stefan Forsström1,*, Victor Kardeby1,*, Jamie Walters1,*, Theo Kanter1,*
  • 1: Mid Sweden University
*Contact email: stefan.forsstrom@miun.se, victor.kardeby@miun.se, jamie.walters@miun.se, theo.kanter@miun.se

Abstract

Context-aware applications and services require ubiquitous access to context information of users. The limited scalability of centralized servers used in the provisioning of context information mandates the search for scalable peer-to-peer protocols. Furthermore, unnecessary signaling must be avoided in large-scale context networks, when location-based services only require nodes in a certain area with which to communicate context. To this end, we propose a lightweight model for composing and maintaining unstructured location-scoped networks of peer-to-peer nodes, which gossips in order to ensure quality of service for each user. The model is implemented in a prototype application running in a mobile environment, which is evaluated with respect to real-time properties. This model can also be extended to include more context dimensions, other than location.