Publication:
Three-Dimensional Sensor Localization Using Modified 3N Algorithm

dc.authorscopusid57188582201
dc.authorscopusid35791875600
dc.authorscopusid22433630600
dc.authorscopusid57188579570
dc.authorscopusid7003264115
dc.contributor.authorYıldız, D.
dc.contributor.authorKaragöl, S.
dc.contributor.authorÖzgönenel, O.
dc.contributor.authorTadiparthi, S.
dc.contributor.authorBikdash, M.
dc.date.accessioned2020-06-21T13:39:45Z
dc.date.available2020-06-21T13:39:45Z
dc.date.issued2016
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Yıldız] Doǧan, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Karagöl] Serap, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Özgönenel] Okan, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Tadiparthi] Satish, Prolifics, New York, NY, United States; [Bikdash] Marwan U., North Carolina A&T College of Engineering, Greensboro, NC, United Statesen_US
dc.descriptionIEEE; IEEE Technical Committee on Distributed Processing (TCDP)en_US
dc.description.abstractWireless sensor networks are popular technologies that have extensive application areas. Localization is a crucial topic in wireless sensor networks. In wireless ad hoc and sensor networks, supporting nodes without Global Positioning System (GPS) capability have many applications in routing and surveying systems in use today. Time of Arrival (TOA) is a method used to estimate the location of a target node based on the correlation of the signals. In this paper, before proposing the Modified 3N algorithm in 3D, the 3N algorithm and Modified 3N algorithm in 2D are expressed. In the Modified 3N algorithm in 3D, four spheres were used to localize the target node in the algorithm. Nodes that are localized are now position-aware and possess the capability to share their positions. This newly found position-aware node is introduced into the pseudo anchor list. The neighboring network is intimated of this change and the gradual increase in the position-aware nodes in the network enable an enhanced localization performance. The simulations conducted have shown that the introduction of the knowledge of newly localized nodes into the network enhances its localization capability. The enhancements in both 2D and 3D environments are shown using MATLAB simulations and the obtained results are discussed. © 2016 IEEE.en_US
dc.identifier.doi10.1109/AINA.2016.107
dc.identifier.endpage338en_US
dc.identifier.isbn9780769549538
dc.identifier.isbn9780769540184
dc.identifier.isbn9780769528465
dc.identifier.isbn0769530958
dc.identifier.isbn9780769524665
dc.identifier.isbn0769519067
dc.identifier.isbn9780769530956
dc.identifier.isbn0769530966
dc.identifier.isbn9780769536385
dc.identifier.isbn9781538621943
dc.identifier.scopus2-s2.0-84988957198
dc.identifier.startpage334en_US
dc.identifier.urihttps://doi.org/10.1109/AINA.2016.107
dc.identifier.wosWOS:000386476800047
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - International Conference on Advanced Information Networking and Applications, AINA -- 30th IEEE International Conference on Advanced Information Networking and Applications, AINA 2016 -- 2016-03-23 through 2016-03-25 -- Crans-Montana -- 121762en_US
dc.relation.ispartofseriesInternational Conference on Advanced Information Networking and Applications
dc.relation.journalIeee 30Th International Conference on Advanced Information Networking and Applications Ieee Aina 2016en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D Localizationen_US
dc.subject3N Algorithmen_US
dc.subjectTOAen_US
dc.subjectWireless Sensor Networksen_US
dc.titleThree-Dimensional Sensor Localization Using Modified 3N Algorithmen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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