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Blockchain management and machine learning adaptation for IoT environment in 5G and beyond networks: A systematic review
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 …
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
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 …
and beyond networks, mobile-edge computing (MEC) or fog computing, which provides …
Privacy-preserved task offloading in mobile blockchain with deep reinforcement learning
Blockchain technology with its secure, transparent and decentralized nature has been
recently employed in many mobile applications. However, the process of executing …
recently employed in many mobile applications. However, the process of executing …
Resource allocation with edge computing in IoT networks via machine learning
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 …
(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
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 …
games, edge computing provides a front-end distributed computing archetype of centralized …
Mobile-edge-computing-based hierarchical machine learning tasks distribution for IIoT
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 …
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
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 …
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
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 …
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 …
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 …
(IoT) devices and cellular users will generate a massive cyber-physical information stream in …