Genetic algorithm-based sensor deployment with area priority

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dc.contributor.authorKalayci T.E.
dc.contributor.authorUǧur A.
dc.date.accessioned2024-07-22T08:20:02Z
dc.date.available2024-07-22T08:20:02Z
dc.date.issued2011
dc.description.abstractWe are introducing a new design goal called area priority to determine optimal sensor node distribution. The environment in which the wireless sensor network (WSN) will be placed is divided into parts and priorities are attached to these parts. Priorities make the deployment problem adaptable to nonhomogeneous environments with regions that have different importance levels such as forests. Various tree=animal types and densities, residential in the forest can be classified by the area priority concept that we propose. We also develop a genetic algorithm-based method to optimize the total importance in a fully connected WSN. Experimental results obtained for different priorities are presented and discussed. Copyright © 2011 Taylor & Francis Group, LLC.
dc.identifier.DOI-ID10.1080/01969722.2011.634676
dc.identifier.issn10876553
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/17970
dc.language.isoEnglish
dc.subjectAlgorithms
dc.subjectForests
dc.subjectOptimization
dc.subjectSensors
dc.subjectTelecommunications
dc.subjectForestry
dc.subjectOptimization
dc.subjectSensor nodes
dc.subjectAnimal types
dc.subjectArea priority
dc.subjectDeployment problems
dc.subjectNew design
dc.subjectNode distribution
dc.subjectNon-homogeneous
dc.subjectOptimal sensor
dc.subjectSensor deployment
dc.subjectSensor node distribution
dc.subjectWireless sensor
dc.subjectGenetic algorithms
dc.titleGenetic algorithm-based sensor deployment with area priority
dc.typeArticle

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