Bio-Inspired Models of Networks, Information, and Computing Systems

6th International ICST Conference, BIONETICS 2011, York, UK, December 5-6, 2011, Revised Selected Papers

  • Emma Hart
  • Jon Timmis
  • Paul Mitchell
  • Takadash Nakamo
  • Foad Dabiri
Conference proceedings BIONETICS 2011

Table of contents

  1. Front Matter
  2. Full Papers

    1. Omer Qadir, Jon Timmis, Gianluca Tempesti, Andy Tyrrell
      Pages 29-43
    2. Lachlan Murray, Wenguo Liu, Alan Winfield, Jon Timmis, Andy Tyrrell
      Pages 44-58
    3. Jose Luis Fernandez-Marquez, Giovanna Di Marzo Serugendo, Sara Montagna
      Pages 59-72
    4. Félix Balado
      Pages 85-98
    5. Paul L. Snyder, Yusuf Osmanlioglu, Giuseppe Valetto
      Pages 99-114
  3. Work-in-Progress Papers

    1. Eitan Altman, Julien Gaillard, Majed Haddad, Piotr Wiecek
      Pages 115-124
    2. Takudzwa Mabande, Joseph K. Balikuddembe, Antoine Bagula, Pheeha Machaka
      Pages 133-140
    3. Emi Mathews, Tobias Graf, Kosala S. S. B. Kulathunga
      Pages 149-154
  4. NANO Special Session

    1. Ali Akkaya, Tuna Tugcu
      Pages 171-182
    2. Michael John Moore, Tadashi Nakano
      Pages 183-195
    3. Yutaka Okaie, Michael John Moore, Tadashi Nakano
      Pages 196-198

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the city of York, UK, in December 2011. Bionetics main objective is to bring bio-inspired paradigms into computer engineering and networking, and to enhance the fruitful interactions between these fields and biology. The papers of the conference were accepted in 2 categories: full papers and work-in progress. Full papers describe significant advances in the Bionetics field, while work-in-progress papers present an opportunity to discuss breaking research which is currently being evaluated. The topics are ranging from robotic coordination to attack detection in peer-to-peer networks, biological mechanisms including evolution, flocking and artificial immune systems, and nano-scale communication and networking.

Keywords

bio-inspired algorithms molecular communication networks robotics self-organization

Editors and affiliations

  • Emma Hart
    • 1
  • Jon Timmis
    • 2
  • Paul Mitchell
    • 2
  • Takadash Nakamo
    • 3
  • Foad Dabiri
    • 4
  1. 1.School of ComputingNapier UniversityEdinburghUK
  2. 2.Department of Computer Science and Department of ElectronicsUniversity of YorkYorkUK
  3. 3.Frontier Research Base for Global Young Researchers, Graduate School of EngineeringOsaka UniversitySuitaJapan
  4. 4.University of CaliforniaLos AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-32711-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-32710-0
  • Online ISBN 978-3-642-32711-7
  • Series Print ISSN 1867-8211
  • Series Online ISSN 1867-822X
  • About this book