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Bio-Inspired Computing and Communication

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Cover of 'Bio-Inspired Computing and Communication'

Table of Contents

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    Book Overview
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    Chapter 1 Bio-Inspired Computing and Communication
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    Chapter 2 A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans
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    Chapter 3 Modelling Gene Regulatory Networks
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    Chapter 4 The Role of Simplifying Models in Neuroscience: Modelling Structure and Function
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    Chapter 5 An Artificial Chemistry for Networking
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    Chapter 6 Biomimicry: Further Insights from Ant Colonies?
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    Chapter 7 Network-Related Challenges and Insights from Neuroscience
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    Chapter 8 Networks in Epidemiology
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    Chapter 9 Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor?
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    Chapter 10 Epidemic Spreading of Computer Worms in Fixed Wireless Networks
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    Chapter 11 Wireless Epidemic Spread in Dynamic Human Networks
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    Chapter 12 Stochastic Spreading Processes on a Network Model Based on Regular Graphs
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    Chapter 13 Weighted and Directed Network on Traveling Patterns
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    Chapter 14 Communication Networks in Insect Societies
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    Chapter 15 The Topological Fortress of Termites
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    Chapter 16 Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks
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    Chapter 17 Phase Patterns of Coupled Oscillators with Application to Wireless Communication
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    Chapter 18 Self-organizing Desynchronization and TDMA on Wireless Sensor Networks
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    Chapter 19 Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications
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    Chapter 20 Bio-Inspired Approaches for Autonomic Pervasive Computing Systems
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    Chapter 21 Biologically Inspired Self Selective Routing with Preferred Path Selection
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    Chapter 22 Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication
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    Chapter 23 User-Centric Mobility Models for Opportunistic Networking
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    Chapter 24 Bio-Inspired Computing and Communication
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    Chapter 25 A Circulatory System Approach for Wireless Sensor Networks
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    Chapter 26 Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models
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    Chapter 27 Maintaining Spatial-Temporal Knowledge through Human Interaction
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    Chapter 28 Beta Random Projection
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    Chapter 29 Biologically Inspired Classifier
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    Chapter 30 Human Heuristics for Autonomous Agents
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    Chapter 31 Designing Biological Computers: Systemic Computation and Sensor Networks
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    Chapter 32 A Rule System for Network-Centric Operation in Massively Distributed Systems
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    Chapter 33 Field-Based Coordination for Pervasive Computing Applications
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    Chapter 34 Coalition Games and Resource Allocation in Ad-Hoc Networks
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    Chapter 35 Bio-Inspired Topology Maintenance Protocols for Secure Wireless Sensor Networks
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    Chapter 36 Dynamic Topologies for Robust Scale-Free Networks
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Title
Bio-Inspired Computing and Communication
Published by
Springer Berlin Heidelberg, November 2008
DOI 10.1007/978-3-540-92191-2
ISBNs
978-3-54-092190-5, 978-3-54-092191-2
Editors

Liò, Pietro, Yoneki, Eiko, Crowcroft, Jon, Verma, Dinesh C., Liò, Pietro, Yoneki, Eiko, Crowcroft, Jon, Verma, Dinesh C.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Student > Doctoral Student 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 1 13%
Mathematics 1 13%
Computer Science 1 13%
Physics and Astronomy 1 13%
Unknown 4 50%