LEADER 06295nam 22008535 450 001 9910483815403321 005 20230223002644.0 010 $a3-540-92191-5 024 7 $a10.1007/978-3-540-92191-2 035 $a(CKB)1000000000545776 035 $a(SSID)ssj0000316489 035 $a(PQKBManifestationID)11273161 035 $a(PQKBTitleCode)TC0000316489 035 $a(PQKBWorkID)10275223 035 $a(PQKB)10604327 035 $a(DE-He213)978-3-540-92191-2 035 $a(MiAaPQ)EBC3063749 035 $a(MiAaPQ)EBC6280985 035 $a(PPN)13286181X 035 $a(EXLCZ)991000000000545776 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aBio-Inspired Computing and Communication $eFirst Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers /$fedited by Pietro Liņ, Eiko Yoneki, Jon Crowcroft, Dinesh Chandra Verma 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (X, 428 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5151 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-92190-7 320 $aIncludes bibliographical references and index. 327 $aBio-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 Classifier -- Distributed Computing -- Human Heuristics for Autonomous Agents -- Designing Biological Computers: Systemic Computation and Sensor Networks -- A Rule System for Network-Centric Operation in Massively Distributed Systems -- Field-Based Coordination for Pervasive Computing Applications -- Coalition Games and Resource Allocation in Ad-Hoc Networks -- Security -- Bio-Inspired Topology Maintenance Protocols for Secure Wireless Sensor Networks -- Dynamic Topologies for Robust Scale-Free Networks. 330 $aThe book constitutes the thoroughly refereed post-workshop proceedings of the First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, held in Cambridge, UK, in April 2007. The 35 revised full papers presented were carefully reviewed and selected from many high quality submissions. All recent developments in the field of bio-inspired design of networks are addressed, with particular regard to wireless networks and the self-organizing properties of biological networks. The papers are organized in topical sections on biological networks, network epidemics, complex networks, bio-inspired network mode, network protocol in wireless communication, data management, distributed computing, and security. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5151 606 $aAlgorithms 606 $aComputer networks 606 $aBioinformatics 606 $aApplication software 606 $aDatabase management 606 $aComputer simulation 606 $aAlgorithms 606 $aComputer Communication Networks 606 $aComputational and Systems Biology 606 $aComputer and Information Systems Applications 606 $aDatabase Management 606 $aComputer Modelling 615 0$aAlgorithms. 615 0$aComputer networks. 615 0$aBioinformatics. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aComputer simulation. 615 14$aAlgorithms. 615 24$aComputer Communication Networks. 615 24$aComputational and Systems Biology. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 615 24$aComputer Modelling. 676 $a511.3 702 $aLiņ$b Pietro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYoneki$b Eiko$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCrowcroft$b Jon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVerma$b Dinesh Chandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aWorkshop on Bio-Inspired Design of Networks 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483815403321 996 $aBio-Inspired Computing and Communication$9774110 997 $aUNINA