Cone Tessellation Model for Three-Dimensional Networks

dc.contributor.authorSarisin, Gozde
dc.contributor.authorSalamah, Muhammed
dc.date.accessioned2026-02-06T18:17:19Z
dc.date.issued2011
dc.departmentDoğu Akdeniz Üniversitesi
dc.description3rd International Conference on Wireless and Mobile Networks (WiMo 2011) -- JUN 26-28, 2011 -- Ankara, TURKEY
dc.description.abstractWireless terrestrial networks are usually designed in 2D plane, but in real life they form 3D space. In these networks, node placement strategy is one of the most important design problems. The idea is to deploy a number of nodes in an effective way to achieve communication between them. The volumetric quotient, which is the ratio of the transmission range to the sensing range of each node, is used as the main measure of the placement strategy. Researchers use polyhedrons to model 3D networks. As the volumetric quotient increases, we need less number of nodes for full coverage. In this paper, we proposed a cone model which gives a higher volumetric quotient than polyhedrons. The inspiration comes from satellite foot-print. For example, the number of nodes for truncated octahedron placement strategy is found to be 46.35% higher than the cone placement strategy. We also achieved full coverage with cone tessellation.
dc.description.sponsorshipAcad & Ind Res Collaborat Ctr
dc.identifier.endpage169
dc.identifier.isbn978-3-642-21936-8
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.scopus2-s2.0-79960310881
dc.identifier.scopusqualityQ3
dc.identifier.startpage159
dc.identifier.urihttps://hdl.handle.net/11129/8922
dc.identifier.volume162
dc.identifier.wosWOS:000302750400015
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer-Verlag Berlin
dc.relation.ispartofRecent Trends in Wireless and Mobile Networks
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectModeling
dc.subject3D networks
dc.subjecttessellation
dc.subjectKelvin's Conjecture
dc.subjectKepler's Conjecture
dc.subjectSensor Networks
dc.titleCone Tessellation Model for Three-Dimensional Networks
dc.typeConference Object

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