Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey
NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …
technology and machine learning (ML), where intelligent networks can provide pervasive …
[HTML][HTML] Fuzzy logic based cross-layer design to improve Quality of Service in Mobile ad-hoc networks for Next-gen Cyber Physical System
Abstract 5G standard by 3GGP has provision for Device-to-Device (D2D) communication
over a Wireless Mobile Ad-hoc Network (MANET) framework. Recent research and …
over a Wireless Mobile Ad-hoc Network (MANET) framework. Recent research and …
[HTML][HTML] Fuzzy based intrusion detection system in MANET
CE Singh, SMC Vigila - Measurement: Sensors, 2023 - Elsevier
The rapid development and popularization of the Mobile Adhoc Network (MANET) have
brought many security issues in network. Intrusion detection system, an effective security …
brought many security issues in network. Intrusion detection system, an effective security …
[PDF][PDF] An Improved Whale optimization Algorithm for Cross layer Neural Connection Network of MANET.
V Gayatri, MS Kumaran - J. Commun., 2022 - jocm.us
The connecting of numerous remote mobile nodes is known as a mobile ad hoc network.
These networks are dynamic and self-contained, allowing them to move about freely. It is …
These networks are dynamic and self-contained, allowing them to move about freely. It is …
An optimal QoS multicast routing protocol in IoT enabling cognitive radio MANETs: A deep Q-learning approach
In this paper, we propose an optimal quality-of-service (QoS) multicast routing protocol
(QMR) in Internet-of-Things (IoT) enabling cognitive radio mobile ad hoc networks (ICR …
(QMR) in Internet-of-Things (IoT) enabling cognitive radio mobile ad hoc networks (ICR …