Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet-of-things networks

X Fernando, G Lăzăroiu - Sensors, 2023 - mdpi.com
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 …

Spectrum sensing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review

SK Agrawal, A Samant, SK Yadav - Physical Communication, 2022 - Elsevier
The massive growth in mobile users and wireless technologies has resulted in increased
data traffic and created demand for additional radio spectrum. This growing demand for …

A design and challenges in energy optimizing CR-wireless sensor networks

PC Shaker Reddy, Y Sucharitha - Recent Advances in …, 2023 - ingentaconnect.com
Background: The progress of the Cognitive Radio-Wireless Sensor Network is being
influenced by advancements in wireless sensor networks (WSNs), which significantly have …

When machine learning meets spectrum sharing security: Methodologies and challenges

Q Wang, H Sun, RQ Hu… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …

Employing machine learning based malicious signal detection for cognitive radio networks

Y Turkyilmaz, A Senturk… - … : Practice and Experience, 2023 - Wiley Online Library
In cognitive radio networks, the empty spectrum that is also named as spectrum hole is
detected with the help of spectrum sensing techniques. Energy detection is the most utilized …

Deep reinforcement learning-based multichannel access for industrial wireless networks with dynamic multiuser priority

X Liu, C Xu, H Yu, P Zeng - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In Industry 4.0, massive heterogeneous industrial devices generate a great deal of data with
different quality of service requirements, and communicate via industrial wireless networks …

A robust diffusion recursive generalized modified Blake-Zisserman algorithm for distributed estimation under an adaptive kernel width

AN Sadigh - Signal Processing, 2023 - Elsevier
In adaptive networks, the performance of distributed estimation is degraded in the presence
of non-Gaussian noises. A number of robust criteria for diffusion approaches, such as …

A Review of Cognitive Hybrid Radio Frequency/Visible Light Communication Systems for Wireless Sensor Networks

RF Miranda, CH Barriquello, VA Reguera… - Sensors, 2023 - mdpi.com
The development and growth of Wireless Sensor Networks (WSNs) is significantly propelled
by advances in Radio Frequency (RF) and Visible Light Communication (VLC) technologies …

Potential, concepts, and key advances for a ubiquitous adaptive indigenous microengineering and nanoengineering in 6G network

AA John, P Thakur, G Singh - International Journal of …, 2022 - Wiley Online Library
The wireless communication is an integral part of the human life, which has been evolved
from first generation (1G) to fifth generation (5G) where prime emphasis is on the enhanced …

Intelligent cognitive radio ad-hoc network: Planning, learning and dynamic configuration

KE Lee, JG Park, SJ Yoo - Electronics, 2021 - mdpi.com
Cognitive radio (CR) is an adaptive radio technology that can automatically detect available
channels in a wireless spectrum and change transmission parameters to improve the radio …