Bio-Inspired Computing and Communication - Liò Pietro
Bio-Inspired Computing and Communication - Liò Pietro
- First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers
EAN: 9783540921905
Marka
Symbol
970HGO03527KS
Rok wydania
2008
Strony
444
Oprawa
Miekka
Format
15.6x23.4cm
Redakcja
Liò Pietro
Język
angielski

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Marka
Symbol
970HGO03527KS
Kod producenta
9783540921905
Rok wydania
2008
Strony
444
Oprawa
Miekka
Format
15.6x23.4cm
Redakcja
Liò Pietro
Język
angielski

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).
EAN: 9783540921905
EAN: 9783540921905
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