6th International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications

Research Article

Content Dissemination on Location-based Communities: a Comparative Analysis

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  • @INPROCEEDINGS{10.4108/icst.mobilware.2013.254150,
        author={Elena Pagani and Gian Paolo Rossi},
        title={Content Dissemination on Location-based Communities: a Comparative Analysis},
        proceedings={6th International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications},
        publisher={IEEE},
        proceedings_a={MOBILWARE},
        year={2014},
        month={7},
        keywords={opportunistic networks content dissemination communities simulations},
        doi={10.4108/icst.mobilware.2013.254150}
    }
    
  • Elena Pagani
    Gian Paolo Rossi
    Year: 2014
    Content Dissemination on Location-based Communities: a Comparative Analysis
    MOBILWARE
    IEEE
    DOI: 10.4108/icst.mobilware.2013.254150
Elena Pagani1,*, Gian Paolo Rossi1
  • 1: Università degli Studi di Milano
*Contact email: pagani@di.unimi.it

Abstract

This paper focuses on content dissemination in location-centered communities and provides the first comparative analysis of two forwarding algorithms on real scenario, namely, ProfileCast – which has been on purposely designed for this environment – and InterestCast – which by contrast addresses more general settings. The paper provides quantitative evaluation of relevant metrics (i.e. community coverage, delivery delay, energy/message efficiency) to be considered whenever attempting to spread contents to the persons that are used to visit the same location. Moreover, the experiment allows to give an insight on the problems arising when deploying these protocols on real settings and an empirical evaluation of two different approaches. ProfileCast leverages mechanisms to automatically extract the intrinsic characteristics of the users from their behavior pattern; a content generated by a node is implicitly addressed to users with similar behavior as the source. InterestCast matches content tags against interests explicitly expressed by the users.