In situ Genetic Programming for Wireless Sensor Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Philip Valencia",
  title =        "In situ Genetic Programming for Wireless Sensor
  booktitle =    "SenSys 2007 Doctoral Colloquium",
  year =         "2007",
  editor =       "Mike Hazas and Athanassios Boulis and Lewis Girod",
  pages =        "37--41",
  address =      "Sydney",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Intelligence, Automatic Programming, Wireless Sensor
  URL =          "",
  size =         "5 pages",
  abstract =     "This research proposes in situ distributed genetic
                 programming (IDGP) as a method for achieving continual
                 post-deployment system optimisation in wireless sensor
                 networks (WSN). A number of significant challenges are
                 identified that would need to be addressed in order to
                 achieve the desired outcome. These include: distributed
                 evaluation of global fitness and non-detrimental
                 distributed genetic programming on resource constrained
                 hardware. Preliminary tests indicate that such an
                 approach is plausible and even suitable for specific
                 deployments. Achieving networks that can adapt and
                 evolve their behaviour throughout the life of the
                 deployment, would reduce, or even remove completely the
                 need for post-deployment reprogramming.",
  notes =        "crossover only. GP on motes.

                 Cited by \cite{Schulte:2013:ARB:2451116.2451151}.
                 SenSys 2007
                 Doctoral Colloquium

Genetic Programming entries for Philip Valencia