Call for Papers
BIO-INSPIRED SOLUTIONS FOR WIRELESS SENSOR NETWORKS - BIS-WSN 2011
First International Workshop
http://albcom.lsi.upc.edu/bis-wsn-2011/
NOTE: This workshop is a satelite workhop of the
2011 Genetic and Evolutionary Computation Conference (GECCO-2011)
July 12-16, Dublin, Ireland
http://www.sigevo.org/gecco-2011/
Organized by ACM SIGEVO
20th International Conference on Genetic Algorithms (ICGA) and the 16th
Annual Genetic Programming Conference (GP)
One Conference - Many Mini-Conferences 15 Program Tracks
PAPER SUBMISSION DEADLINE FOR WORKSHOP: April 7th, 2011
*** Proceedings will be published in ACM Digital Library ***
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Wireless sensor networks consist of spatially distributed autonomous
computing units that cooperatively monitor a variable property, for
example, environmental conditions such as temperature, sound, vibration,
pressure, motion or pollutants. They are being used in various
application areas, including industrial process monitoring and control,
machine health monitoring, environment and habitat monitoring,
healthcare applications, home automation, and traffic control.
Apart from begin equipped with different sensors, each node in a sensor
network is generally equipped with a very limited battery, a rather
small memory device, a small hard disk, a simple processing unit, and
a radio transceiver or another alternative device for wireless
communication. Some of the algorithmic issues that must be addressed in
sensor networks concern, for example, event detection, data gathering,
object tracking, base station initiated querying, power saving, etc.
The fact that a complex sensor network is composed of simple computing
units has an analogy with certain animal societies, whose individuals
are often very simple but together they result in a much more complex
and capable entity. Thus, from an algorithmic point of view, bio-
inspired solutions, such as swarm intelligence techniques, artificial
immune systems, or evelutionary algorithms may provide valuable
alternatives for solving problems in sensor networks. Genetic and
evolutionary algorithms, for example, may be used to solve large-scale
optimization problems occuring in sensor networks. On the other side,
self-organization may help in distributed controll and management tasks.
SCOPE AND TOPICS OF INTEREST
For this workshop we invite original, and so-far unpublished,
contributions from the following topic areas:
* All contributions must deal with algorithmic aspects in wireless
sensor networks
* Applications of genetic and evolutionary computation principles
* Use of swarm intelligence principles such as self-organization
* Other bio-inspired computing paradigms such as artificial
immune systems
PAPER SUBMISSION
Researchers are invited to submit papers of not more than 8 pages in
ACM style. Templates and formatting instructions can be found at
http://www.sigevo.org/gecco-2011/papers.html
Note: even though this webpage asks for anonymous submissions, this
does not hold for GECCO workshops. The author names SHOULD appear
on the submitted papers.
For submitting a paper, please send the corresponding PDF file by
email to bis-wsn-2011@lsi.upc.edu
The submitted papers must be original works. Simultaneous submission
to other conferences with published proceedings is not permitted.
Finally, note that for each accepted paper at least one of the authors
must register for the GECCO 2011 conference, which includes the
workshop as well as in the main conference.
PROCEEDINGS
Accepted papers will be published in the ACM Digital Library
IMPORTANT DATES
Submission of papers: April 7, 2011
Notification of acceptance: April 14, 2011
Camera-ready papers: April 26, 2011
Workshop: July 12/13, 2011
WORKSHOP CO-CHAIRS
Maria J. Blesa, Universitat Politecnica de Catalunya, Barcelona, Spain
Christian Blum, Universitat Politecnica de Catalunya, Barcelona, Spain
CONTACT INFORMATION
GECCO is sponsored by the Association for Computing Machinery Special
Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG
Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA,
1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).
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