Bio-Inspired Computing and Communication

First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers

  • Pietro Liò
  • Eiko Yoneki
  • Jon Crowcroft
  • Dinesh C. Verma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5151)

Table of contents

  1. Front Matter
  2. Introduction

  3. Biological Networks

    1. Erol Gelenbe
      Pages 19-32
    2. Thomas Meyer, Lidia Yamamoto, Christian Tschudin
      Pages 45-57
    3. Francis L. W. Ratnieks
      Pages 58-66
    4. Charles Peck, James Kozloski, Guillermo Cecchi, Sean Hill, Felix Schürmann, Henry Markram et al.
      Pages 67-78
  4. Network Epidemics

    1. Ken T. D. Eames, Jonathan M. Read
      Pages 79-90
    2. Stephen Eubank, V. S. Anil Kumar, Madhav Marathe
      Pages 91-104
    3. Eiko Yoneki, Pan Hui, Jon Crowcroft
      Pages 116-132
  5. Complex Networks

    1. Sebastian V. Fallert, Sergei N. Taraskin
      Pages 133-144
    2. J. I. L. Miguéns, J. F. F. Mendes
      Pages 145-154
    3. Stamatios C. Nicolis
      Pages 155-164
    4. Andrea Perna, Christian Jost, Sergi Valverde, Jacques Gautrais, Guy Theraulaz, Pascale Kuntz
      Pages 165-173
    5. Julius Degesys, Ian Rose, Ankit Patel, Radhika Nagpal
      Pages 192-203
  6. Bio-Inspired Network Model

    1. Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista, Pietro Liò, Kang-Won Lee
      Pages 204-216

About these proceedings

Introduction

The book constitutes the thoroughly refereed post-workshop proceedings of the First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, held in Cambridge, UK, in April 2007.

The 35 revised full papers presented were carefully reviewed and selected from many high quality submissions. All recent developments in the field of bio-inspired design of networks are addressed, with particular regard to wireless networks and the self-organizing properties of biological networks. The papers are organized in topical sections on biological networks, network epidemics, complex networks, bio-inspired network mode, network protocol in wireless communication, data management, distributed computing, and security.

Keywords

Bridge ad-hoc networks ant colony optimization bio-inspired networking complex adaptive systems complex networks distributed algorithms distributed computing gene regulatory networks load balancing microarray mobile networks modeling multi-agent coordination multi-dimensi

Editors and affiliations

  • Pietro Liò
    • 1
  • Eiko Yoneki
    • 2
  • Jon Crowcroft
    • 3
  • Dinesh C. Verma
    • 4
  1. 1.The Computer LaboratoryUniversity of CambridgeCambridgeUK
  2. 2.CambridgeUK
  3. 3.Cambridge UniversityUK
  4. 4.IBM TJ Watson Research CenterUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-92191-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-92190-5
  • Online ISBN 978-3-540-92191-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book