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Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers (Paperback, 2008 ed.)
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Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007, Revised Papers (Paperback, 2008 ed.)
Series: Theoretical Computer Science and General Issues, 5151
Expected to ship within 10 - 15 working days
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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 Lio (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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