Genetic Programming for Sensor Networks

author = "Thomas Weise",

title = "Genetic Programming for Sensor Networks",

year = "2006",

month = jan,

affiliation = "University of Kassel",

address = "University of Kassel",

institution = "University of Kassel",

organization = "University of Kassel",

school = "University of Kassel",

notes = "DGPF Home: http://dgpf.sourceforge.net/ The work is online available at http://www.it-weise.de/documents/index.html#W2006DGPFa The report can be downloaded at http://www.it-weise.de/documents/files/W2006DGPFa.pdf Contact Thomas Weise at tweise@gmx.de or http://www.it-weise.de/",

email = "tweise@gmx.de",

affiliation = "University of Kassel, Distributed Systems Group",

language = "en",

URL = "

http://www.it-weise.de/documents/index.html#W2006DGPFa",

URL = "

http://dgpf.sourceforge.net/documents/001-2006-01-20-paper.pdf",

URL = "

http://www.it-weise.de/documents/files/W2006DGPFa.pdf",

copyright = "unrestricted",

keywords = "genetic algorithms, genetic programming, DGPF, Sensor Network, Sensor Node",

rights = "unrestricted",

abstract = "DGPF Home: http://dgpf.sourceforge.net/ In this paper we present an approach to automated program code generation for sensor nodes and other small devices using Genetic Programming. We give a short introduction to Genetic Algorithms. Our new Distributed Genetic Programming Framework facilitates the development of sensor network applications. Genetic evolution of programs requires program testing. Therefore we use a simulation environment for distributed systems of sensor nodes. The simulation model takes into account characteristic features of sensor nodes, such as unreliable communication and resource constraints. Two application examples are presented that demonstrate the feasibility of our approach and its potential to create robust and adaptive code for sensor network applications.",

language = "en",

size = "16 pages",