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

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  • Cite this

    Carreras, I., Bassbouss, L., Linner, D., Pfeffer, H., Simon, V., Schreckling, D., Huusko, J., & Rivas, H. (2009). BIONETS: Self evolving services in opportunistic networking environments. In Bioinspired Models of Network, Information, and Computing Systems: BIONETICS 2009 (pp. 88-94). Springer. https://doi.org/10.1007/978-3-642-12808-0_8