A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …

Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect

E Esenogho, K Djouani, AM Kurien - IEEE Access, 2022 - ieeexplore.ieee.org
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

Spectrum sensing for cognitive radio: Recent advances and future challenge

A Nasser, H Al Haj Hassan, J Abou Chaaya… - Sensors, 2021 - mdpi.com
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

Cognitive-radio-based internet of things: Applications, architectures, spectrum related functionalities, and future research directions

AA Khan, MH Rehmani… - IEEE wireless …, 2017 - ieeexplore.ieee.org
Recent research and technology trends are shifting toward IoT and CRNs. However, we
think that the things-oriented, Internet-oriented, and semantic-oriented versions of IoT are …

A survey on network methodologies for real-time analytics of massive IoT data and open research issues

S Verma, Y Kawamoto, ZM Fadlullah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

A new deep-Q-learning-based transmission scheduling mechanism for the cognitive Internet of Things

J Zhu, Y Song, D Jiang, H Song - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Cognitive networks (CNs) are one of the key enablers for the Internet of Things (IoT), where
CNs will play an important role in the future Internet in several application scenarios, such as …

Mobile edge computing: opportunities, solutions, and challenges

E Ahmed, MH Rehmani - Future Generation Computer Systems, 2017 - Elsevier
The emergence of several new computing applications, such as virtual reality and smart
environments, has become possible due to availability of large pool of cloud resources and …

A systematic review on cognitive radio in low power wide area network for industrial IoT applications

N Nurelmadina, MK Hasan, I Memon, RA Saeed… - Sustainability, 2021 - mdpi.com
The Industrial Internet of things (IIoT) helps several applications that require power control
and low cost to achieve long life. The progress of IIoT communications, mainly based on …

Technical issues on cognitive radio-based Internet of Things systems: A survey

FA Awin, YM Alginahi, E Abdel-Raheem, K Tepe - IEEE access, 2019 - ieeexplore.ieee.org
Cognitive radio (CR)-based Internet of Things (IoT) system is an effective step toward a
world of smart technology. Many frameworks have been proposed to build CR-based IoT …