A Genetic Programming Based Approach to Automatically Generate Wireless Sensor Networks Applications

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

@InProceedings{deOliveira:2013:CEC,
  article_id =   "1585",
  author =       "Renato Resende Ribeiro {de Oliveira} and 
                 Tales Heimfarth and Raphael Winckler {de Bettio} and 
                 Marcio {da Silva Arantes} and Claudio Fabiano Motta Toledo",
  title =        "A Genetic Programming Based Approach to Automatically
                 Generate Wireless Sensor Networks Applications",
  booktitle =    "2013 IEEE Conference on Evolutionary Computation",
  volume =       "1",
  year =         "2013",
  month =        jun # " 20-23",
  editor =       "Luis Gerardo {de la Fraga}",
  pages =        "1771--1778",
  address =      "Cancun, Mexico",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2013.6557775",
  abstract =     "The development of Wireless Sensor Networks (WSNs)
                 applications is an arduous task, since the application
                 needs to be customised for each sensor. Thus, 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. The genetic programming is used to
                 automatically generate WSNs applications described
                 using this scripting language. These scripts are
                 executed by all network's sensors. 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 shown the capability of the
                 developed approach to successfully solve WSNs problems
                 through the automatic generation of applications.",
  notes =        "CEC 2013 - A joint meeting of the IEEE, the EPS",
  notes =        "CEC 2013 - A joint meeting of the IEEE, the EPS and
                 the IET.",
}

Genetic Programming entries for Renato Resende Ribeiro de Oliveira Tales Heimfarth Raphael Winckler de Bettio Marcio da Silva Arantes Claudio Fabiano Motta Toledo

Citations