Automatic generation and configuration of Wireless Sensor Networks applications with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Heimfarth:2013:ISORC,
  author =       "Tales Heimfarth and 
                 Renato {Resende Ribeiro de Oliveira} and Raphael {Winckler de Bettio} and 
                 Ariel Felipe {Ferreira Marques} and 
                 Claudio Fabiano {Motta Toledo}",
  booktitle =    "16th IEEE International Symposium on
                 Object/Component/Service-Oriented Real-Time Distributed
                 Computing (ISORC 2013)",
  title =        "Automatic generation and configuration of Wireless
                 Sensor Networks applications with Genetic Programming",
  year =         "2013",
  month =        jun,
  abstract =     "The development of Wireless Sensor Networks (WSNs)
                 applications is an arduous task, since the developer
                 has to design the behaviour of the nodes and their
                 interactions. The automatic generation of WSN's
                 applications is desirable to reduce costs, since it
                 drastically reduces the human effort. This paper
                 presents the use of Genetic Programming to
                 automatically generate WSNs applications. A scripting
                 language based on events and actions is proposed to
                 represent the WSN behaviour. Events represent the state
                 of a given sensor node and actions modify these states.
                 Some events are internal states and others are external
                 states captured by the sensors. A parallel genetic
                 algorithm is used to automatically generate WSNs
                 applications in this scripting language. These scripts
                 are executed by a middleware installed on all sensors
                 nodes. This approach enables the application designer
                 to define only the overall objective of the WSN. This
                 objective is defined by means of a fitness function. An
                 event-detection problem is presented in order to
                 evaluate the proposed method. The results showed the
                 capability of the developed approach to successfully
                 solve WSNs problems through the automatic generation of
                 applications.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ISORC.2013.6913217",
  notes =        "Also known as \cite{6913217}",
}

Genetic Programming entries for Tales Heimfarth Renato Resende Ribeiro de Oliveira Raphael Winckler de Bettio Ariel Felipe Ferreira Marques Claudio Fabiano Motta Toledo

Citations