Blockchain management and machine learning adaptation for IoT environment in 5G and beyond networks: A systematic review

A Miglani, N Kumar - Computer Communications, 2021 - Elsevier
Kee** in view of the constraints and challenges with respect to big data analytics along
with security and privacy preservation for 5G and B5G applications, the integration of …

Joint task assignment and resource allocation for D2D-enabled mobile-edge computing

H **ng, L Liu, J Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the proliferation of computation-extensive and latency-critical applications in the 5G
and beyond networks, mobile-edge computing (MEC) or fog computing, which provides …

Privacy-preserved task offloading in mobile blockchain with deep reinforcement learning

DC Nguyen, PN Pathirana, M Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blockchain technology with its secure, transparent and decentralized nature has been
recently employed in many mobile applications. However, the process of executing …

Resource allocation with edge computing in IoT networks via machine learning

X Liu, J Yu, J Wang, Y Gao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In this article, we investigate resource allocation with edge computing in Internet-of-Things
(IoT) networks via machine learning approaches. Edge computing is playing a promising …

Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing

X Liu, J Yu, Z Feng, Y Gao - China Communications, 2020 - ieeexplore.ieee.org
To support popular Internet of Things (IoT) applications such as virtual reality and mobile
games, edge computing provides a front-end distributed computing archetype of centralized …

Mobile-edge-computing-based hierarchical machine learning tasks distribution for IIoT

B Yang, X Cao, X Li, Q Zhang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In this article, we propose a novel framework of mobile edge computing (MEC)-based
hierarchical machine learning (ML) tasks distribution for the Industrial Internet of Things. It is …

Resource allocation for edge computing in IoT networks via reinforcement learning

X Liu, Z Qin, Y Gao - ICC 2019-2019 IEEE international …, 2019 - ieeexplore.ieee.org
In this paper, we consider resource allocation for edge computing in internet of things (IoT)
networks. Specifically, each end device is considered as an agent, which makes its …

Cache-assisted mobile-edge computing over space–air–ground integrated networks for extended reality applications

S Yoo, S Jeong, J Kim, J Kang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Extended reality-enabled Internet of Things (XRI) provides new user experiences and a
sense of immersion by adding virtual elements to the real world through Internet of Things …

Blockchain-based secure computation offloading in vehicular networks

X Zheng, M Li, Y Chen, J Guo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) has become an important part of modern intelligent
transportation systems (ITS). However, under the influence of malicious mobile vehicles …

UAV-aided edge/fog computing in smart IoT community for social augmented reality

Z Tan, H Qu, J Zhao, S Zhou… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In 5G and beyond, the adequate interaction between densely deployed Internet-of-Things
(IoT) devices and cellular users will generate a massive cyber-physical information stream in …