Spectrum Sensing, Clustering Algorithms, and Energy-Harvesting Technology for Cognitive-Radio-Based Internet-of-Things Networks

The aim of this systematic review was to identify the correlations between spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet of things (IoT) networks in terms of deep-learning-based, nonorthogonal, multiple-access techniques. The search resu...

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Vydané v:Sensors (Basel, Switzerland) Ročník 23; číslo 18; s. 7792
Hlavní autori: Fernando, Xavier, Lăzăroiu, George
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.09.2023
MDPI
Predmet:
Access control
Algorithms
Analysis
Bibliometrics
Clustering
cognitive radio
Data visualization
Energy efficiency
energy harvesting
Internet of Things
internet-of-things networks
Radio frequency
Radio networks
Review
Sensors
Signal processing
Software
spectrum sensing
Technology application
Time management
Wireless communications
ISSN:1424-8220, 1424-8220
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Popis
Shrnutí:The aim of this systematic review was to identify the correlations between spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet of things (IoT) networks in terms of deep-learning-based, nonorthogonal, multiple-access techniques. The search results and screening procedures were configured with the use of a web-based Shiny app in the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) flow design. AMSTAR, DistillerSR, Eppi-Reviewer, PICO Portal, Rayyan, and ROBIS were the review software systems harnessed for screening and quality assessment, while bibliometric mapping (dimensions) and layout algorithms (VOSviewer) configured data visualization and analysis. Cognitive radio is pivotal in the utilization of an adequate radio spectrum source, with spectrum sensing optimizing cognitive radio network operations, opportunistic spectrum access and sensing able to boost the efficiency of cognitive radio networks, and cooperative spectrum sharing together with simultaneous wireless information and power transfer able increase spectrum and energy efficiency in 6G wireless communication networks and across IoT devices for efficient data exchange.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23187792