Optimal nodes localization in wireless sensor networks using nutcracker optimizer algorithms: Istanbul area

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dc.authorscopusidAmir Seyyedabbasi / 57202833910
dc.authorwosidAmir Seyyedabbasi / HJH-7387-2023
dc.contributor.authorNeggaz, Nabil
dc.contributor.authorSeyyedabbasi, Amir
dc.contributor.authorHussien, Abdelazim G.
dc.contributor.authorRahim, Mekki
dc.contributor.authorBeşkirli, Mehmet
dc.date.accessioned2025-04-18T10:08:13Z
dc.date.available2025-04-18T10:08:13Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractNode localization is a non-deterministic polynomial time (NP-hard) problem in Wireless Sensor Networks (WSN). It involves determining the geographical position of each node in the network. For many applications in WSNs, such as environmental monitoring, security monitoring, health monitoring, and agriculture, precise location of nodes is crucial. As a result of this study, we propose a novel and efficient way to solve this problem without any regard to the environment, as well as without predetermined conditions. This proposed method is based on new proposed Nutcracker Optimization Algorithm (NOA). By utilizing this algorithm, it is possible to maximize coverage rates, decrease node numbers, and maintain connectivity. Several algorithms were used in this study, such as Grey Wolf Optimization (GWO), Kepler Optimization Algorithms (KOA), Harris Hawks Optimizer (HHO), Gradient-Based Optimizer (GBO) and Gazelle Optimization Algorithm (GOA). The node localization was first tested in Istanbul, Turkey, where it was determined to be a suitable study area. As a result of the metaheuristic-based approach and distributed architecture, the study is scalable to large-scale networks. Among these metaheuristic algorithms, NOA, KOA, and GWO have achieved significant performance in terms of coverage rates (CR), achieving coverage rates of 96.15%, 87.76%, and 93.49%, respectively. In terms of their ability to solve sensor node localization problems, these algorithms have proven to be effective.
dc.identifier.citationNeggaz, N., Seyyedabbasi, A., Hussien, A. G., Rahim, M., & Beşkirli, M. (2024). Optimal nodes localization in wireless sensor networks using Nutcracker optimizer algorithms: Istanbul Area. IEEE Access.
dc.identifier.doi10.1109/ACCESS.2024.3400370
dc.identifier.endpage68002
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85193220309
dc.identifier.scopusqualityQ1
dc.identifier.startpage67986
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2024.3400370
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6955
dc.identifier.volume12
dc.identifier.wosWOS:001227426900001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorSeyyedabbasi, Amir
dc.institutionauthoridAmir Seyyedabbasi / 0000-0001-5186-4499
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofIEEE acess
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectNode Localization
dc.subjectMeta-Heuristics
dc.subjectCoverage Rate
dc.subjectNOA
dc.subjectWSN
dc.titleOptimal nodes localization in wireless sensor networks using nutcracker optimizer algorithms: Istanbul area
dc.typeArticle

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