BIONETS: Self evolving services in opportunistic networking environments

Iacopo Carreras, Louay Bassbouss, David Linner, Heiko Pfeffer, Vilmos Simon, Daniel Schreckling, Jyrki Huusko, Helena Rivas

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    This paper presents the BIONETS opportunistic service evolution platform. The proposed platform allows pervasive services to evolve over time by exploiting opportunistic communications among mobile nodes on the one hand,
    and evolutionary computation techniques on the other. We present the main components of the platform, describing their functionalities and technical implementation. Finally, we present the hardware–in–the–loop approach we have followed to evaluate it, where a simulation platform, in charge or reproducing a large number of mobile nodes communicating wirelessly, is integrated with a real software prototype.
    Original languageEnglish
    Title of host publicationBioinspired Models of Network, Information, and Computing Systems
    Subtitle of host publicationBIONETICS 2009
    PublisherSpringer
    Pages88-94
    ISBN (Electronic)978-3-642-12808-0
    ISBN (Print)978-3-642-12807-3
    DOIs
    Publication statusPublished - 2009
    MoE publication typeNot Eligible
    Event4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2009 - Avignon, France
    Duration: 9 Dec 200911 Dec 2009
    Conference number: 4

    Conference

    Conference4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2009
    Abbreviated titleBIONETICS 2009
    CountryFrance
    CityAvignon
    Period9/12/0911/12/09

    Keywords

    • evolutionary services
    • opportunistic networking
    • hardware–in–the– loop

    Fingerprint Dive into the research topics of 'BIONETS: Self evolving services in opportunistic networking environments'. Together they form a unique fingerprint.

    Cite this