Enabling massive IoT toward 6G: A comprehensive survey
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …
augmented/virtual reality online games, autonomous driving, and smart everything, which …
Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is
proposed, where several UAVs having different trajectories fly over the target area and …
proposed, where several UAVs having different trajectories fly over the target area and …
Age of information in energy harvesting aided massive multiple access networks
Given the proliferation of the massive machine type communication devices (MTCDs) in
beyond 5G (B5G) wireless networks, energy harvesting (EH) aided next generation multiple …
beyond 5G (B5G) wireless networks, energy harvesting (EH) aided next generation multiple …
Multi-UAV-enabled load-balance mobile-edge computing for IoT networks
Unmanned aerial vehicles (UAVs) have been widely used to provide enhanced information
coverage as well as relay services for ground Internet-of-Things (IoT) networks. Considering …
coverage as well as relay services for ground Internet-of-Things (IoT) networks. Considering …
Reliable computation offloading for edge-computing-enabled software-defined IoV
Internet of Vehicles (IoV) has drawn great interest recent years. Various IoV applications
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …
Deep reinforcement learning assisted federated learning algorithm for data management of IIoT
The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT
equipments generating massive amounts of user data every moment. According to the …
equipments generating massive amounts of user data every moment. According to the …
Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things
Nowadays, driven by the rapid development of smart mobile equipments and 5G network
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …
Efficient and flexible management for industrial internet of things: A federated learning approach
In this paper, we devise an efficient and flexible management for mobile edge computing
(MEC)-aided industrial Internet of Things (IIoT), from a federated learning approach. In the …
(MEC)-aided industrial Internet of Things (IIoT), from a federated learning approach. In the …
Adaptive optics for orbital angular momentum-based internet of underwater things applications
Orbital angular momentum (OAM) has the potential to dramatically enhance the amount of
information in the Internet of Underwater Things (IoUT) system. Nevertheless, underwater …
information in the Internet of Underwater Things (IoUT) system. Nevertheless, underwater …