Publication:
Efficient Deployment of Wireless Sensor Nodes with Evolutionary Approaches

Simple item page
dc.contributor.authorKORKMAZ, HAYRİYE
dc.contributor.authorsBirtane Akar S., KORKMAZ H., Sahingoz O. K.
dc.date.accessioned2022-12-23T08:52:42Z
dc.date.available2022-12-23T08:52:42Z
dc.date.issued2022-01-01
dc.description.abstract© 2022 IEEE.In previous WSN studies, it was observed that there are two common methods used in coverage area calculation: 1) image processing technique or 2) mathematical formulas. calculation of the coverage area, if the sensing ranges of the mobile nodes intersect (overlap) each other, the processing time increases while the calculation result is wrong. In this study, a new method is proposed to calculate the coverage area with relatively high accuracy, including the overlap conditions, but in a shorter time. In this method, the points that were placed as targets to be tracked in the Region of Interest (ROI) in the previous studies are now used in a different way. All covered points by any node are counted to calculate the area. However, in this case, the number of points placed in the area should be much higher than in the previous cases. Coverage performance is calculated by counting the points covered by the WSN nodes and dividing them by the total number of points defined initially. (Coverage rate) First of all, to decide the experiment\"s initial conditions, 57 different cases were simulated. Different number of sensor nodes with different radii (25, 50, 100, 200) was considered and then the average of the error rate of all cases was calculated. The lowest error value was obtained in the case of the 2000×2000 area. Therefore, an area of 2000×2000 was preferred in the next steps. It can be concluded that, this method is a promising method to calculate the coverage rate in WSNs.
dc.identifier.citationBirtane Akar S., KORKMAZ H., Sahingoz O. K. , \"Efficient Deployment of Wireless Sensor Nodes with Evolutionary Approaches\", 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022, Ankara, Türkiye, 9 - 11 Haziran 2022
dc.identifier.doi10.1109/hora55278.2022.9800045
dc.identifier.isbn978-166546835-0
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85133964451&origin=inward
dc.identifier.urihttps://hdl.handle.net/11424/283893
dc.relation.ispartof4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectKontrol ve Sistem Mühendisliği
dc.subjectSinyal İşleme
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectYaşam Bilimleri
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.subjectInformation Systems, Communication and Control Engineering
dc.subjectControl and System Engineering
dc.subjectSignal Processing
dc.subjectComputer Sciences
dc.subjectalgorithms
dc.subjectLife Sciences
dc.subjectNatural Sciences
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik
dc.subjectSinirbilim ve Davranış
dc.subjectOTOMASYON & KONTROL SİSTEMLERİ
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectLife Sciences (LIFE)
dc.subjectCOMPUTER SCIENCE
dc.subjectENGINEERING
dc.subjectNEUROSCIENCE & BEHAVIOR
dc.subjectAUTOMATION & CONTROL SYSTEMS
dc.subjectCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
dc.subjectENGINEERING, ELECTRICAL & ELECTRONIC
dc.subjectYapay Zeka
dc.subjectFizik Bilimleri
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectBilgisayarla Görme ve Örüntü Tanıma
dc.subjectKontrol ve Optimizasyon
dc.subjectİnsan Bilgisayar Etkileşimi
dc.subjectArtificial Intelligence
dc.subjectPhysical Sciences
dc.subjectComputer Science Applications
dc.subjectComputer Vision and Pattern Recognition
dc.subjectControl and Optimization
dc.subjectHuman-Computer Interaction
dc.subjectcoverage
dc.subjectevolutionary algorithm
dc.subjectgenetic algorithm
dc.subjectsensor deployment
dc.subjectWireless Sensor Network
dc.titleEfficient Deployment of Wireless Sensor Nodes with Evolutionary Approaches
dc.typeconferenceObject
dspace.entity.typePublication
local.avesis.id72a0def4-f221-4023-99fc-78b9633a6c48
local.indexed.atSCOPUS
relation.isAuthorOfPublication67640187-0464-4e01-af59-5797b1c49144
relation.isAuthorOfPublication.latestForDiscovery67640187-0464-4e01-af59-5797b1c49144

Files

Collections

Research Outputs