Evaluation of a Genetic Programming Approach to Generate Wireless Sensor Network Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Heimfarth:2014:AINA,
  author =       "Tales Heimfarth and Joao Paulo {De Araujo} and 
                 Renato {Resende Ribeiro de Oliveira} and 
                 Raphael {Winckler de Bettio}",
  booktitle =    "28th IEEE International Conference on Advanced
                 Information Networking and Applications (AINA 2014)",
  title =        "Evaluation of a Genetic Programming Approach to
                 Generate Wireless Sensor Network Applications",
  year =         "2014",
  month =        may,
  pages =        "775--782",
  abstract =     "This article presents a systematic evaluation of a
                 framework based on Genetic Programming (GP) which aims
                 the automatic generation of Wireless Sensor Network
                 (WSN) applications. Developing WSN applications poses a
                 challenge due to massive distribution of the network
                 nodes. The automatic generation of applications reduces
                 drastically costs, since the manual development is a
                 laborious process. In our approach, the user describes
                 the desired global behaviour as a fitness function
                 which guides the evolution of the application by the
                 GP. A scripting language based on events and actions is
                 used to represent the WSN behaviour and the GP
                 generates programs in this language. In order to
                 evaluate the framework, a problem of multiple events
                 detection is introduced. Several problem instances were
                 used to appraise the performance of our method under
                 different parameters. Results evidence the feasibility
                 of our approach for the proposed problem, highlighting
                 the challenges posed by the large search space and the
                 dead end routing problem.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/AINA.2014.94",
  ISSN =         "1550-445X",
  notes =        "Dept. of Comput. Sci., Univ. Fed. de Lavras, Lavras,
                 Brazil

                 Also known as \cite{6838743}",
}

Genetic Programming entries for Tales Heimfarth Joao Paulo De Araujo Renato Resende Ribeiro de Oliveira Raphael Winckler de Bettio

Citations