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Bio-Inspired Computing and Communication

53,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18c7ebd691cf9a46639d114f04ee97a4cd
Themengebiete: Bridge ad-hoc networks ant colony optimization bio-inspired networking complex adaptive systems complex networks distributed algorithms distributed computing gene regulatory networks load balancing
Veröffentlichungsdatum: 18.12.2008
EAN: 9783540921905
Sprache: Englisch
Seitenzahl: 428
Produktart: Kartoniert / Broschiert
Herausgeber: Crowcroft, Jon Liò, Pietro Verma, Dinesh Chandra Yoneki, Eiko
Verlag: Springer Berlin
Untertitel: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers
Produktinformationen "Bio-Inspired Computing and Communication"
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).
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