Bio-Inspired Computing and Communication

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

Editors:

ISBN: 978-3-540-92190-5 (Print) 978-3-540-92191-2 (Online)

Table of contents (36 chapters)

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  1. Front Matter

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  2. Introduction

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      Pages 1-8

      Bio-Inspired Computing and Communication

  3. Biological Networks

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      Pages 9-18

      A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans

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      Pages 19-32

      Modelling Gene Regulatory Networks

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      Pages 33-44

      The Role of Simplifying Models in Neuroscience: Modelling Structure and Function

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      Pages 45-57

      An Artificial Chemistry for Networking

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      Pages 58-66

      Biomimicry: Further Insights from Ant Colonies?

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      Pages 67-78

      Network-Related Challenges and Insights from Neuroscience

  4. Network Epidemics

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      Pages 79-90

      Networks in Epidemiology

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      Pages 91-104

      Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor?

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      Pages 105-115

      Epidemic Spreading of Computer Worms in Fixed Wireless Networks

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      Pages 116-132

      Wireless Epidemic Spread in Dynamic Human Networks

  5. Complex Networks

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      Pages 133-144

      Stochastic Spreading Processes on a Network Model Based on Regular Graphs

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      Pages 145-154

      Weighted and Directed Network on Traveling Patterns

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      Pages 155-164

      Communication Networks in Insect Societies

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      Pages 165-173

      The Topological Fortress of Termites

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      Pages 174-183

      Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks

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      Pages 184-191

      Phase Patterns of Coupled Oscillators with Application to Wireless Communication

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      Pages 192-203

      Self-organizing Desynchronization and TDMA on Wireless Sensor Networks

  6. Bio-Inspired Network Model

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      Pages 204-216

      Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications

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      Pages 217-228

      Bio-Inspired Approaches for Autonomic Pervasive Computing Systems

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