Evolutionary Based Approaches in Wireless Sensor Networks: A Survey

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

@InProceedings{Nan:2008:ICNC,
  author =       "Guofang Nan and Minqiang Li",
  title =        "Evolutionary Based Approaches in Wireless Sensor
                 Networks: A Survey",
  booktitle =    "Fourth International Conference on Natural
                 Computation, ICNC '08",
  year =         "2008",
  month =        oct,
  volume =       "5",
  pages =        "217--222",
  keywords =     "genetic algorithms, genetic programming, NP hard
                 problems, evolutionary algorithms, optimization
                 problems, wireless sensor networks, wireless sensor
                 networks",
  DOI =          "doi:10.1109/ICNC.2008.98",
  abstract =     "With the broad application and techniques development
                 of wireless sensor networks (WSNs), a series of
                 optimization problems are produced, and most of these
                 problems are NP hard, it is difficult to obtain the
                 high precision of solution by traditional methods.
                 While employing evolutionary algorithms (EAs) in WSNs
                 is emerging as an important field, there is an
                 important need to form a broad review of the current
                 research and its future directions. Thus, this paper
                 discusses the use of evolutionary algorithms,
                 particularly genetic algorithms and genetic programming
                 in wireless sensor networks. We focus on how to
                 understand of properly using EAs for the real problems
                 and what problems in WSNs can be solved by EAs.",
  notes =        "Also known as \cite{4667429}",
}

Genetic Programming entries for Guofang Nan Minqiang Li

Citations