Distributed genetic evolution in WSN

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

@InProceedings{Valencia:2010:IPSN,
  author =       "Philip Valencia and Peter Lindsay and Raja Jurdak",
  title =        "Distributed genetic evolution in WSN",
  booktitle =    "Proceedings of the 9th ACM/IEEE International
                 Conference on Information Processing in Sensor
                 Networks, IPSN'10",
  year =         "2010",
  editor =       "Tarek Abdelzaher and Thiemo Voigt and Adam Wolisz",
  pages =        "13--23",
  address =      "Stockholm, Sweden",
  publisher_address = "New York, NY, USA",
  month =        apr # " 12-16",
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-988-6",
  URL =          "http://www2.ee.kth.se/conferences/cpsweek2010/PDF/IPSN/p013-valencia.pdf",
  DOI =          "doi:10.1145/1791212.1791215",
  size =         "11 pages",
  abstract =     "Wireless Sensor Actuator Networks (WSANs) extend
                 wireless sensor networks through actuation capability.
                 Designing robust logic for WSANs however is challenging
                 since nodes can affect their environment which is
                 already inherently complex and dynamic. Fixed (offline)
                 logic does not have the ability to adapt to significant
                 environmental changes and can fail under changed
                 conditions. To address this challenge, we present In
                 situ Distributed Genetic Programming (IDGP) as a
                 framework for evolving logic post-deployment (online)
                 and implement this framework on a physically deployed
                 WSAN. To demonstrate the features of the framework
                 including individual, cooperative and heterogeneous
                 evolution, we apply it to two simple optimisation
                 problems requiring sensing, communications and
                 actuation. The experiments confirm that IDGP can evolve
                 code to achieve a system wide objective function and is
                 resilient to unexpected environmental changes.",
  notes =        "Also known as \cite{1791215}",
}

Genetic Programming entries for Philip Valencia Peter A Lindsay Raja Jurdak

Citations