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dc.contributor.authorBirtane Akar, Sibel
dc.contributor.authorKorkmaz, Hayriye
dc.contributor.authorSahingoz, Ozgur Koray
dc.date.accessioned2023-01-31T11:30:12Z
dc.date.available2023-01-31T11:30:12Z
dc.date.issued2022en_US
dc.identifier.citationBirtane Akar, S., Korkmaz, H., & Şahingöz, Ö. K. (2022). Efficient deployment of wireless sensor nodes with evolutionary approaches.en_US
dc.identifier.isbn9781665468350
dc.identifier.urihttps://doi.org/10.1109/HORA55278.2022.9800045
dc.identifier.urihttps://hdl.handle.net/20.500.12294/3220
dc.description.abstractIn 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. © 2022 IEEE.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofHORA 2022 - 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedingsen_US
dc.identifier.doi10.1109/HORA55278.2022.9800045en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCoverageen_US
dc.subjectEvolutionary Algorithmen_US
dc.subjectGenetic Algorithmen_US
dc.subjectSensor Deploymenten_US
dc.subjectWireless Sensor Networken_US
dc.titleEfficient Deployment of Wireless Sensor Nodes with Evolutionary Approachesen_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.authorid0000-0002-4921-1381en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.institutionauthorBirtane Akar, Sibel
dc.authorscopusid57796236300en_US
dc.identifier.scopus2-s2.0-85133964451en_US


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