Genetic Programming Techniques for Sensor Networks
T. Weise, and K. Geihs. Proceedings of 5. GI/ITG KuVS Fachgesprach Drahtlose
Sensornetze, page 21--25. University of Stuttgart, Stuttgart, Germany, (July 2006)Technical Report No. 2006/07.
Abstract
In this paper we present an approach to automated
program code generation for sensor nodes and other
small devices. Using Genetic Programming, we are able
to discover algorithms that solve certain problems.
Furthermore, non-functional properties like code size,
memory usage, and communication frequency can be
optimised using multiobjective search techniques. The
evolution of algorithms requires program testing, which
we perform using a customised simulation environment
for sensor networks. The simulation model takes into
account characteristic features of sensor nodes, such
as unreliable communication and resource constraints.
An application example is presented that demonstrates
the feasibility of our approach and its potential to
create robust and adaptive code for sensor network
applications.
Proceedings of 5. GI/ITG KuVS Fachgesprach Drahtlose
Sensornetze
year
2006
month
July
pages
21--25
organisation
Faculty of Computer Science, Electrical Engineering,
and Information Technology, University of Stuttgart
rights
unrestricted
affiliation
University of Kassel, Distributed Systems Group,
Wilhelmshöher Allee 73, 34121 Kassel, Germany
language
en
notes
Proceedings published a Technical Report No.
2006/07
These are the proceedings of the 5th GI/ITG KuVS
Fachgesprach Drahtlose Sensornetze (expert talk on
wireless sensor networks) held at the University
Stuttgart in July, 2006. The program included among
others papers on sensor network hardware, routing,
middleware, localisation, programming abstractions and
modelling. While the presentations were given in German
most of the papers are in English.
Also known as WG2006DGPFb
%0 Conference Paper
%1 DGPF06b
%A Weise, Thomas
%A Geihs, Kurt
%B Proceedings of 5. GI/ITG KuVS Fachgesprach Drahtlose
Sensornetze
%C University of Stuttgart, Stuttgart, Germany
%D 2006
%E Marron, Pedro Jose
%K DGPF, Network, Node Sensor algorithms, genetic programming,
%P 21--25
%T Genetic Programming Techniques for Sensor Networks
%U http://elib.uni-stuttgart.de/opus/volltexte/2006/2838/
%X In this paper we present an approach to automated
program code generation for sensor nodes and other
small devices. Using Genetic Programming, we are able
to discover algorithms that solve certain problems.
Furthermore, non-functional properties like code size,
memory usage, and communication frequency can be
optimised using multiobjective search techniques. The
evolution of algorithms requires program testing, which
we perform using a customised simulation environment
for sensor networks. The simulation model takes into
account characteristic features of sensor nodes, such
as unreliable communication and resource constraints.
An application example is presented that demonstrates
the feasibility of our approach and its potential to
create robust and adaptive code for sensor network
applications.
@inproceedings{DGPF06b,
abstract = {In this paper we present an approach to automated
program code generation for sensor nodes and other
small devices. Using Genetic Programming, we are able
to discover algorithms that solve certain problems.
Furthermore, non-functional properties like code size,
memory usage, and communication frequency can be
optimised using multiobjective search techniques. The
evolution of algorithms requires program testing, which
we perform using a customised simulation environment
for sensor networks. The simulation model takes into
account characteristic features of sensor nodes, such
as unreliable communication and resource constraints.
An application example is presented that demonstrates
the feasibility of our approach and its potential to
create robust and adaptive code for sensor network
applications.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {University of Stuttgart, Stuttgart, Germany},
affiliation = {University of Kassel, Distributed Systems Group,
Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany},
author = {Weise, Thomas and Geihs, Kurt},
biburl = {https://www.bibsonomy.org/bibtex/26ace92f36b70327257db5b57f100484c/brazovayeye},
booktitle = {Proceedings of 5. GI/ITG KuVS Fachgesprach Drahtlose
Sensornetze},
editor = {Marron, Pedro Jose},
interhash = {726815cac16edb53a7921b293ccdfc40},
intrahash = {6ace92f36b70327257db5b57f100484c},
keywords = {DGPF, Network, Node Sensor algorithms, genetic programming,},
language = {en},
month = {July},
note = {Technical Report No. 2006/07},
notes = {Proceedings published a Technical Report No.
2006/07
These are the proceedings of the 5th GI/ITG KuVS
Fachgesprach Drahtlose Sensornetze (expert talk on
wireless sensor networks) held at the University
Stuttgart in July, 2006. The program included among
others papers on sensor network hardware, routing,
middleware, localisation, programming abstractions and
modelling. While the presentations were given in German
most of the papers are in English.
Also known as \cite{WG2006DGPFb}},
organisation = {Faculty of Computer Science, Electrical Engineering,
and Information Technology, University of Stuttgart},
pages = {21--25},
rights = {unrestricted},
timestamp = {2008-06-19T17:53:59.000+0200},
title = {Genetic Programming Techniques for Sensor Networks},
url = {http://elib.uni-stuttgart.de/opus/volltexte/2006/2838/},
year = 2006
}