Bio-Inspired Computing and Communication

Bio-Inspired Computing and Communication.- Biological Networks.- A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans.- Modelling Gene Regulatory Networks.- The Role of Simplifying Models in Neuroscience: Modelling Structure and Function.- An Artificial Chemistry for Networking.- Biomimicry: Further Insights from Ant Colonies?.- Network-Related Challenges and Insights from Neuroscience.- Network Epidemics.- Networks in Epidemiology.- Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor?.- Epidemic Spreading of Computer Worms in Fixed Wireless Networks.- Wireless Epidemic Spread in Dynamic Human Networks.- Complex Networks.- Stochastic Spreading Processes on a Network Model Based on Regular Graphs.- Weighted and Directed Network on Traveling Patterns.- Communication Networks in Insect Societies.- The Topological Fortress of Termites.- Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks.- Phase Patterns of Coupled Oscillators with Application to Wireless Communication.- Self-organizing Desynchronization and TDMA on Wireless Sensor Networks.- Bio-Inspired Network Model.- Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications.- Bio-Inspired Approaches for Autonomic Pervasive Computing Systems.- Biologically Inspired Self Selective Routing with Preferred Path Selection.- Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication.- Network Protocol in Wireless Communication.- User-Centric Mobility Models for Opportunistic Networking.- Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion.- A Circulatory System Approach for Wireless Sensor Networks.- Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models.- Maintaining Spatial-Temporal Knowledge through Human Interaction.- Data Management.- Beta Random Projection.- Biologically Inspired