2009-01-09

[Mycolleagues] CfP IEEE JSAC SI on Bio-inspired Networking

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IEEE Journal on Selected Areas in Communications (JSAC)

BIO-INSPIRED NETWORKING

Technology is taking us to a world where myriads of massively networked
devices interact with the physical world in multiple ways, and at
multiple scales, from the global Internet down to micro- and
nano-devices. Many of these devices are highly mobile and autonomous,
and must adapt to the surrounding environment in a totally distributed
and unsupervised way.

Recently, a number of approaches inspired by biological mechanisms and
phenomena have been proposed as a strategy to handle the complexity of
massively distributed systems such as the Internet, or wireless ad hoc
and sensor networks. The goal of bio-inspired approaches is to discover
and to adapt biological methods to technical solutions that are showing
similarly high stability, adaptability, and scalability as biological
entities often have.

This special issue intends to highlight the latest achievements in the
new research domain of bio-inspired networking. In particular, the issue
focuses on methodologies for identifying relevant biological mechanisms,
the modeling of these mechanisms, and their application to technical
solutions. Prospective articles are expected to outline either proof of
concept studies with direct comparison to classical technical solutions,
or theoretical mathematical models of biological principles associated
with fundamental challenges in communication systems. For this special
issue, we consider all techniques with direct biological background
including animal learning strategies, self-organizing methods as
observed from swarms down to nano-structures that are observed and
analyzed in molecular biology. Classical complex systems research is
explicitly excluded from the scope whereas a comparison to well-known
techniques in this domain is appreciated.

This special issue is dedicated to bio-inspired approaches addressing
various aspects of networking and communication systems. The topics of
interest include the following domains:

• Self-organizing communication systems
• Evolutionary and adaptive systems and protocols
• Scalable systems and protocols
• Self-learning algorithms
• Self-healing systems and protocols
• Security mechanisms
• Network algorithms and protocols
• Scalable and adaptive network architectures
• Congestion control mechanisms
• Performance evaluation of bio-inspired networks

Original unpublished contributions, and invited articles will be
considered for the issue. The papers should be formatted according to
IEEE-JSAC guidelines. Authors should submit a PDF version of their
complete manuscript via email to dressler@ieee.org according to the
following timetable:

Manuscript Submission: March 1, 2009
Acceptance Notification: September 1, 2009
Final Manuscript due to Pub: December 1, 2009
Publication: 2nd quarter 2010

Guest Editors
• Falko Dressler, University of Erlangen, Germany (dressler@ieee.org)
• Tatsuya Suda, University of California, Irvine, USA (suda@ics.uci.edu)
• Iacopo Carreras, Create-Net, Italy (iacopo.carreras@create-net.org)
• Masayuki Murata, Osaka University, Japan (murata@ist.osaka-u.ac.jp)
• Jon Crowcroft, University of Cambridge, UK (Jon.Crowcroft@cl.cam.ac.uk)


--
Dr.-Ing. Falko Dressler
Computer Networks and Communication Systems
University of Erlangen-Nuremberg, Germany
Phone: +49 9131 85-27914 / Fax: +49 9131 85-27409
EMail: dressler@informatik.uni-erlangen.de / fd@acm.org
WWW: http://www7.informatik.uni-erlangen.de/~dressler/

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