Programacao genetica aplicada a geracao automatizada de aplicacoes para redes de sensores sem fio
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @MastersThesis{deOliveira:masters,
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author = "Renato Resende Ribeiro {de Oliveira}",
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title = "Programacao genetica aplicada a geracao automatizada
de aplicacoes para redes de sensores sem fio",
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school = "Departamento de Ciencia da Computacao, Universidade
Federal de Lavras",
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year = "2014",
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type = "Mestre",
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address = "Brazil",
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month = "13 " # aug,
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keywords = "genetic algorithms, genetic programming, Rede de
sensor sem fio, Middlewares, Wireless sensor network",
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URL = "http://repositorio.ufla.br/jspui/handle/1/2707",
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size = "72 pages",
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abstract = "The wireless sensor networks (WSN) programming is a
complex task due to the low-level programming languages
and the need of a specific application for each sensor.
Furthermore, wireless sensors have many hardware
limitations such as low processing power, small memory
and energetic limitations. Hence, the automatic
programming of WSNs is desirable since it can
automatically address these difficulties, besides
saving costs by eliminating the need to allocate a
developer to program the WSN. The automatic code
generation for WSNs using genetic programming has been
poorly studied in the literature so far. The genetic
programming has proved to be promising in code
generation for many application areas. This study
proposes the development and application of
evolutionary algorithms to generate source codes that
solve WSNs problems. The developed evolutionary
algorithms should be able to solve different problems
of WSNs correctly (achieve the main goal of the
problem) and with satisfactory efficiency (mainly on
energy savings). The obtained results show that the
proposed framework is able to find optimal solutions
for the Event Detection Problem for WSN with grid
topology and to find satisfactory solutions for WSN
with randomised topology. Thus, this study brings many
contributions to the WSN area since the automatic
programming of WSNs drastically reduces the human
programming effort, besides saving costs on executing
this task",
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notes = "in Portuguese",
- }
Genetic Programming entries for
Renato Resende Ribeiro de Oliveira
Citations