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Titlebook: Bio-Inspired Computing and Communication; First Workshop on Bi Pietro Liò,Eiko Yoneki,Dinesh C. Verma Conference proceedings 2008 Springer-

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期刊全称Bio-Inspired Computing and Communication
期刊简称First Workshop on Bi
影响因子2023Pietro Liò,Eiko Yoneki,Dinesh C. Verma
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Bio-Inspired Computing and Communication; First Workshop on Bi Pietro Liò,Eiko Yoneki,Dinesh C. Verma Conference proceedings 2008 Springer-
影响因子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 sensoria
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https://doi.org/10.1007/978-3-642-94230-3etworks. Standard mean-field and network mean-field models from mathematical biology, which are widely used to model worm epidemics in computer networks, are inadequate for describing worm epidemics in wireless adhoc networks but spatial epidemic models provide a promising alternative.
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Die Gewinnung von Fichtensamen betr,si-stationary simulation method is used to obtain the phase diagram for the processes in this environment along with critical exponents. Predictions for critical exponents obtained from mean-field theory are found to agree with simulation results over a large range of values for . up to a value of .
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Stochastic Spreading Processes on a Network Model Based on Regular Graphssi-stationary simulation method is used to obtain the phase diagram for the processes in this environment along with critical exponents. Predictions for critical exponents obtained from mean-field theory are found to agree with simulation results over a large range of values for . up to a value of .
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Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applicationstypical urban sensing operation, it is critical to design a mechanism to effectively coordinate their operations to the area where new information is rich in a completely decentralized and lightweight way. We present a novel agent coordination algorithm for urban sensing environments that has been d
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Conference proceedings 2008etro 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 sensoria
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