Bio-Inspired Computing and Communication

1. Front Matter

   PDF

2. Introduction

   1. Bio-Inspired Computing and Communication

      • Jon Crowcroft

      Pages 1-8

3. Biological Networks

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

      • Alex Arenas, Alberto Fernández, Sergio Gómez

      Pages 9-18

   2. Modelling Gene Regulatory Networks

      • Erol Gelenbe

      Pages 19-32

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

      • Dina M. Kronhaus, Stephen J. Eglen

      Pages 33-44

   4. An Artificial Chemistry for Networking

      • Thomas Meyer, Lidia Yamamoto, Christian Tschudin

      Pages 45-57

   5. Biomimicry: Further Insights from Ant Colonies?

      • Francis L. W. Ratnieks

      Pages 58-66

   6. Network-Related Challenges and Insights from Neuroscience

      • Charles Peck, James Kozloski, Guillermo Cecchi, Sean Hill, Felix Schürmann, Henry Markram et al.

      Pages 67-78

4. Network Epidemics

   1. Networks in Epidemiology

      • Ken T. D. Eames, Jonathan M. Read

      Pages 79-90

   2. Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor?

      • Stephen Eubank, V. S. Anil Kumar, Madhav Marathe

      Pages 91-104

   3. Epidemic Spreading of Computer Worms in Fixed Wireless Networks

      • Maziar Nekovee

      Pages 105-115

   4. Wireless Epidemic Spread in Dynamic Human Networks

      • Eiko Yoneki, Pan Hui, Jon Crowcroft

      Pages 116-132

5. Complex Networks

   1. Stochastic Spreading Processes on a Network Model Based on Regular Graphs

      • Sebastian V. Fallert, Sergei N. Taraskin

      Pages 133-144

   2. Weighted and Directed Network on Traveling Patterns

      • J. I. L. Miguéns, J. F. F. Mendes

      Pages 145-154

   3. Communication Networks in Insect Societies

      • Stamatios C. Nicolis

      Pages 155-164

   4. The Topological Fortress of Termites

      • Andrea Perna, Christian Jost, Sergi Valverde, Jacques Gautrais, Guy Theraulaz, Pascale Kuntz

      Pages 165-173

   5. Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks

      • M. Madan Babu

      Pages 174-183

   6. Phase Patterns of Coupled Oscillators with Application to Wireless Communication

      • Albert Díaz-Guilera, Alex Arenas

      Pages 184-191

   7. Self-organizing Desynchronization and TDMA on Wireless Sensor Networks

      • Julius Degesys, Ian Rose, Ankit Patel, Radhika Nagpal

      Pages 192-203

6. Bio-Inspired Network Model

   1. Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications

      • Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista, Pietro Liò, Kang-Won Lee

      Pages 204-216

This volume contains the papers from BIOWIRE 2007, the first in a series of wo- shops on the bio-inspired design of networks, and additional papers contributed from the research area of bio-inspired computing and communication. The workshop took place at the University of Cambridge during April 2–5, 2007 with sponsorship from the US/UK International Technology Alliance in Network and Information Sciences. Its objective was to present, discuss and explore the recent developments in the field of bio-inspired design of networks, with particular regard to wireless networks and the self-organizing properties of biological networks. The workshop was organized by Jon Crowcroft (University of Cambridge), Don Towsley (University of Massachusetts), Dinesh Verma (IBM T. J. Watson Research Center), Vasilis Pappas (IBM T. J. Watson Research Center), Ananthram Swami (ARL), Tom McCutcheon (DSTL) and Pietro Liò (University of Cambridge). The program for BIOWIRE 2007 included 54 speakers covering a diverse range of topics, categorized as follows: 1. Self-organized communication networks in insects 2. Neuronal communications 3. Bio-computing 4. Epidemiology 5. Network theory 6. Wireless and sensorial networks 7. Brain: models of sensorial integration The BIOWIRE workshop focuses on achieving a common ground for knowledge sharing among scientists with expertise in investigating the application domain (e. g. , biological, wireless, data communication and transportation networks) and scientists with relevant expertise in the methodology domain (e. g. , mathematics and statistical physics of networks).

• 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
• algorithm analysis and problem complexity

• The Computer Laboratory, University of Cambridge, Cambridge, UK

  Pietro Liò

• Cambridge, UK

  Eiko Yoneki

• Cambridge University, UK

  Jon Crowcroft

• IBM TJ Watson Research Center, USA

  Dinesh C. Verma

Policies and ethics