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dc.contributor.authorDönmez, Barışen_US
dc.contributor.authorMitra, Rangeeten_US
dc.contributor.authorMiramirkhani, Farshaden_US
dc.date.accessioned2021-12-07T16:42:04Z
dc.date.available2021-12-07T16:42:04Z
dc.date.issued2021-11-15
dc.identifier.citationDönmez, B., Mitra, R. & Miramirkhani, F. (2021). Channel modeling and characterization for VLC-based medical body sensor networks: trends and challenges. IEEE Access, 9, 153401-153419. doi:10.1109/ACCESS.2021.3127941en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11729/3313
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2021.3127941
dc.description.abstractOptical Wireless Communication (OWC) refers to transmission in unguided propagation media through the use of optical carriers, i.e., visible, Infrared (IR), and Ultraviolet (UV) bands. In this paper, we focus on indoor Visible Light Communication (VLC)-based Medical Body Sensor Networks (MBSNs) which allow the Light Emitting Diodes (LEDs) to communicate between on-body sensors/subdermal implants and on-body central hubs/monitoring devices while also serving as a luminaire. Since the Quality-of-Service (QoS) of the communication systems depends heavily on realistic channel modeling and characterization, this paper aims at presenting an up-to-date survey of works on channel modeling activities for MBSNs. The first part reviews existing IR-based MBSNs channel models based on which VLC channel models are derived. The second part of this review provides details on existing VLC-based MBSNs channel models according to the mobility of the MBSNs on the patient’s body. We also present a realistic channel modeling approach called site-specific ray tracing that considers the skin tissue for the MBSNs channel modeling for realistic hospital scenarios.en_US
dc.description.sponsorshipScientific Research Projects (BAP) (Grant Number: 20A204)en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ACCESS.2021.3127941
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBiomedical optical imagingen_US
dc.subjectBody sensor networksen_US
dc.subjectChannel characterizationen_US
dc.subjectChannel modelingen_US
dc.subjectChannel modellingen_US
dc.subjectChannel modelsen_US
dc.subjectLighten_US
dc.subjectLight emitting diodesen_US
dc.subjectMedical body sensor networken_US
dc.subjectMedical body sensor networks (MBSNs)en_US
dc.subjectNetwork channelen_US
dc.subjectOn-bodyen_US
dc.subjectOptical communicationen_US
dc.subjectOptical sensorsen_US
dc.subjectOptical-wireless communicationsen_US
dc.subjectQuality of serviceen_US
dc.subjectSolid modelingen_US
dc.subjectRealistic channel modelsen_US
dc.subjectThree-dimensional displaysen_US
dc.subjectTransdermalen_US
dc.subjectTransdermal communicationen_US
dc.subjectTransdermal communication (TC)en_US
dc.subjectVisible light communicationen_US
dc.subjectVisible light communication (VLC)en_US
dc.subjectWearable sensorsen_US
dc.subjectWireless communicationen_US
dc.subjectSkinen_US
dc.subjectSimulationen_US
dc.subjectSystemen_US
dc.subjectWirelessen_US
dc.subjectPost-distortionen_US
dc.subjectImpulse-responseen_US
dc.titleChannel modeling and characterization for VLC-based medical body sensor networks: trends and challengesen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalIEEE Accessen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.contributor.authorID0000-0002-6691-9779
dc.identifier.volume9
dc.identifier.startpage153401
dc.identifier.endpage153419
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorDönmez, Barışen_US
dc.contributor.institutionauthorMiramirkhani, Farshaden_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.description.qualityQ2
dc.description.wosidWOS:000721988300001


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