Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18982
DC FieldValueLanguage
dc.contributor.authorKanaris, Loizos-
dc.contributor.authorSergiou, Charalampos-
dc.contributor.authorKokkinis, Akis-
dc.contributor.authorPafitis, Aris-
dc.contributor.authorAntoniou, Nikos-
dc.contributor.authorStavrou, Stavros-
dc.date.accessioned2020-09-16T07:33:40Z-
dc.date.available2020-09-16T07:33:40Z-
dc.date.issued2019-08-
dc.identifier.citationSensors, 2019, vol. 19, no. 15, articl. no. 3264en_US
dc.identifier.isbn1424-8220-
dc.identifier.urihttps://ktisis.cut.ac.cy/handle/10488/18982-
dc.description.abstractPlanning and deploying a functional large scale Wireless Sensor Network (WSN) or a Network of Internet of Things (IoTs) is a challenging task, especially in complex urban environments. A main network design bottleneck is the existence and/or correct usage of appropriate cross layer simulators that can generate realistic results for the scenario of interest. Existing network simulators tend to overlook the complexity of the physical radio propagation layer and consequently do not realistically simulate the main radio propagation conditions that take place in urban or suburban environments, thus passing inaccurate results between Open Systems Interconnection (OSI) layers. This work demonstrates through simulations and measurements that, by correctly passing physical information to higher layers, the overall simulation process produces more accurate results at the network layer. It is demonstrated that the resulting simulation methodology can be utilized to accomplish realistic wireless planning and performance analysis of the deployed nodes, with results that are very close to those of real test-beds, or actual WSN deployments.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofSensorsen_US
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectWSNen_US
dc.subjectIoTen_US
dc.subjectRadio planningen_US
dc.subjectPhysical layeren_US
dc.subjectNetwork layeren_US
dc.subjectSimulationen_US
dc.subjectSensoren_US
dc.subjectCoojaen_US
dc.subjectTruNET wirelessen_US
dc.titleOn the Realistic Radio and Network Planning of IoT Sensor Networksen_US
dc.typeArticleen_US
dc.collaborationEindhoven University of Technologyen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationSigint Solutions Ltden_US
dc.collaborationOpen University Cyprusen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryNetherlandsen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.issue15en_US
dc.relation.volume19en_US
cut.common.academicyear2019-2020en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.journal.journalissn1424-8220-
crisitem.journal.publisherMDPI-
Appears in Collections:Άρθρα/Articles
Files in This Item:
File Description SizeFormat
sensors-19-03264.pdfFulltext2.47 MBAdobe PDFView/Open
CORE Recommender
Show simple item record

Page view(s)

6
checked on Oct 31, 2020

Download(s) 50

2
checked on Oct 31, 2020

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons