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Adapting an evolutionary metaheuristic to generate routing trees in a wireless sensor network in the context of precision agriculture.

TítuloAdapting an evolutionary metaheuristic to generate routing trees in a wireless sensor network in the context of precision agriculture.
Tipo de PublicaciónJournal Article
Nuevas Publicaciones2016
AutoresRodríguez, Á. M., & Corrales J. C.
JournalRevista Ingenierías Universidad de Medellín
Volumen15
Start Page63-80
ISBN1692-3324
Palabras claveprecision agriculture; evolutionary algorithms; multi-objec tive optimization; wireless sensor networks.
Resumen

Wireless sensor networks (wsn) are widely used to monitor variables of interest in phenomena such as crop fields. In such a context the inclusion of a wsn strengthens the task of precision agriculture. For networks used in precision agriculture design challenges have emerged, like the need to achieve longevity for sensor nodes (serving as a data source), of not less than six months, corresponding to the cultivation periods. Previous works say that the routing technique used in wireless sensor networks is a high incidence factor in its longevity. In this paper, mor4wsn, a routing proposal coming from the adaptation of a multi-objective genetic algo rithm (moga) approach is presented. mor4wsn creates tree structures from wsn deployment for proper routing to preserve the longevity in a wsn. Preliminaryevaluation shows promisingresults.

URLhttp://www.scielo.org.co/scielo.php?pid=S1692-33242016000200063&script=sci_arttext&tlng=es
DOIhttp://dx.doi.org/10.22395/rium.v15n29a4

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