معرفی کتاب «Bio-inspired computing and communication : first Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Cambridge, UK, April 2-5, 2007 : revised selected papers» نوشتهٔ Jon Crowcroft (auth.), Pietro Liò, Eiko Yoneki, Jon Crowcroft, Dinesh C. Verma (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
"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."--Jacket Front Matter....Pages - Bio-Inspired Computing and Communication....Pages 1-8 A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans....Pages 9-18 Modelling Gene Regulatory Networks....Pages 19-32 The Role of Simplifying Models in Neuroscience: Modelling Structure and Function....Pages 33-44 An Artificial Chemistry for Networking....Pages 45-57 Biomimicry: Further Insights from Ant Colonies?....Pages 58-66 Network-Related Challenges and Insights from Neuroscience....Pages 67-78 Networks in Epidemiology....Pages 79-90 Epidemiology and Wireless Communication: Tight Analogy or Loose Metaphor?....Pages 91-104 Epidemic Spreading of Computer Worms in Fixed Wireless Networks....Pages 105-115 Wireless Epidemic Spread in Dynamic Human Networks....Pages 116-132 Stochastic Spreading Processes on a Network Model Based on Regular Graphs....Pages 133-144 Weighted and Directed Network on Traveling Patterns....Pages 145-154 Communication Networks in Insect Societies....Pages 155-164 The Topological Fortress of Termites....Pages 165-173 Evolutionary and Temporal Dynamics of Transcriptional Regulatory Networks....Pages 174-183 Phase Patterns of Coupled Oscillators with Application to Wireless Communication....Pages 184-191 Self-organizing Desynchronization and TDMA on Wireless Sensor Networks....Pages 192-203 Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications....Pages 204-216 Bio-Inspired Approaches for Autonomic Pervasive Computing Systems....Pages 217-228 Biologically Inspired Self Selective Routing with Preferred Path Selection....Pages 229-240 Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication....Pages 241-254 User-Centric Mobility Models for Opportunistic Networking....Pages 255-267 Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion....Pages 268-279 A Circulatory System Approach for Wireless Sensor Networks....Pages 280-294 Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models....Pages 295-306 Maintaining Spatial-Temporal Knowledge through Human Interaction....Pages 307-318 Beta Random Projection....Pages 319-331 Biologically Inspired Classifier....Pages 332-339 Human Heuristics for Autonomous Agents....Pages 340-351 Designing Biological Computers: Systemic Computation and Sensor Networks....Pages 352-363 A Rule System for Network-Centric Operation in Massively Distributed Systems....Pages 364-375 Field-Based Coordination for Pervasive Computing Applications....Pages 376-386 Coalition Games and Resource Allocation in Ad-Hoc Networks....Pages 387-398 Bio-Inspired Topology Maintenance Protocols for Secure Wireless Sensor Networks....Pages 399-410 Dynamic Topologies for Robust Scale-Free Networks....Pages 411-426 Back Matter....Pages - 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).
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 prool in wireless communication, data management, distributed computing, and security.