Show simple item record

dc.contributor.authorAlsharif, Mohammed H.
dc.contributor.authorKim, Sunghwan
dc.contributor.authorKuruoğlu, Nuri
dc.date.accessioned2019-08-30T20:06:44Z
dc.date.available2019-08-30T20:06:44Z
dc.date.issued2019en_US
dc.identifier.issn2073-8994
dc.identifier.urihttps://hdl.handle.net/11363/1423
dc.description.abstractIn the near future, symmetry technologies for the Internet of Things (IoT), along with symmetry and asymmetry applications for IoT security and privacy, will re-design the socio-ecological human terrain morphology. The IoT ecosystem deploys diverse sensor platforms connecting billions of heterogeneous objects through the Internet. Most sensors are low-energy consuming devices which are designed to transmit sporadically or continuously. However, when we consider the billions/trillions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology cannot be overemphasised, specifically the development of EE solutions for sustainable IoT technology. Propelled by this need, EE proposals are expected to address IoT's EE issues. Consequently, many developments have been displayed, and highlighting them to provide clear insights into eco-sustainable and green IoT technologies is becoming a crucial task. To pursue a clear vision of green IoT, this article aims to describe the current state-of-the art insights into energy-saving practices and strategies on green IoT. The major contribution of this study is the review and discussion of the substantial issues enabling hardware green IoT to focus on green wireless sensor networks and green radio-frequency identification. This review paper will contribute significantly to the future implementation of green and eco-sustainable IoT.en_US
dc.description.sponsorshipResearch Program through the National Research Foundation of Korea NRF-2016R1D1A1B03934653 - NRF-2019R1A2C1005920en_US
dc.language.isoengen_US
dc.publisherMDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLANDen_US
dc.relation.isversionof10.3390/sym11070865en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectenergy efficiencyen_US
dc.subjecteco-sustainabilityen_US
dc.subjectRFIDen_US
dc.subjectWSNsen_US
dc.subjectenergy harvestingen_US
dc.subjectgreen IoTen_US
dc.subjectPOWER TRANSFERen_US
dc.subjectCOOPERATIVE COMMUNICATIONen_US
dc.subjectAGGREGATION TECHNIQUESen_US
dc.subjectJOINT RATEen_US
dc.subjectTRANSMISSIONen_US
dc.subjectEFFICIENCYen_US
dc.subjectINTERNETen_US
dc.subjectSTORAGEen_US
dc.subjectDESIGNen_US
dc.subjectINFORMATIONen_US
dc.titleEnergy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Reviewen_US
dc.typearticleen_US
dc.relation.journalSYMMETRY-BASELen_US
dc.contributor.departmentMühendislik ve Mimarlık Fakültesien_US
dc.identifier.volume11en_US
dc.identifier.issue7en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

info:eu-repo/semantics/openAccess
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess