Cognitive-Radio-Based Internet of Things: Applications, Architectures, Spectrum Related Functionalities, and Future Research Directions

By Athar Ali Khan, Mubashir Husain Rehmani, A. Rachedi. IEEE wireless communications, 2017

393 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications (2017, methodology): “To address these challenges, recent research work proposed a CR-based IoT [21], [22] to enable dynamic spectrum sharing among heterogeneous wireless networks.”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “Incorporating cognitive radio (CR) capability into IoT devices has paved the way for an innovative research on IoT systems [238].”
IoT security: Review, blockchain solutions, and open challenges (2017, background): “It continues to grow rapidly due to evolution of hardware techniques such as improving bandwidth by incorporating cognitive radio based networks to address underutilization of frequency spectrum [5, 6].”
An Amateur Drone Surveillance System Based on the Cognitive Internet of Things (2017, background): “connectivity [8], which are indeed very important topics.”
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges (2019, background): “Hasan et al. [247] analyzed the cross-layer design of QoS-forward geographic wireless sensor network routing strategies in green IoT.”