Optimizing Connected Target Coverage in Wireless Sensor Networks Using Self-Adaptive Differential Evolution

dc.contributor.authorGokalp, Osman
dc.date.accessioned2023-01-12T20:27:49Z
dc.date.available2023-01-12T20:27:49Z
dc.date.issued2020
dc.departmentN/A/Departmenten_US
dc.description.abstractWireless Sensor Networks (WSNs) are advanced communication technologies with many real-world applications such as monitoring of personal health, military surveillance, and forest wildfire; and tracking of moving objects. Coverage optimization and network connectivity are critical design issues for many WSNs. In this study, the connected target coverage optimization in WSNs is addressed and it is solved using the self-adaptive differential evolution algorithm (SADE) for the first time in literature. A simulation environment is set up to measure the performance of SADE for solving this problem. Based on the experimental settings employed, the numerical results show that SADE is highly successful for dealing with the connected target coverage problem and can produce a higher performance in comparison with other widely-used metaheuristic algorithms such as classical DE, ABC, and PSO.en_US
dc.identifier.doi10.17694/bajece.624527
dc.identifier.endpage330en_US
dc.identifier.issn2147-284X
dc.identifier.issue4en_US
dc.identifier.startpage325en_US
dc.identifier.trdizinid468978en_US
dc.identifier.urihttps://doi.org/10.17694/bajece.624527
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/468978
dc.identifier.urihttps://hdl.handle.net/11454/80351
dc.identifier.volume8en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofBalkan Journal of Electrical and Computer Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleOptimizing Connected Target Coverage in Wireless Sensor Networks Using Self-Adaptive Differential Evolutionen_US
dc.typeArticleen_US

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