Task co-offloading for D2D-assisted mobile edge computing in industrial internet of things
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …
Joint task offloading and resource allocation for energy-constrained mobile edge computing
We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …
Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids
Digital twin (DT) provides accurate guidance for multidimensional resource scheduling in 5G
edge computing-empowered distribution grids by establishing a digital representation of the …
edge computing-empowered distribution grids by establishing a digital representation of the …
A blockchain-based scheme for secure data offloading in healthcare with deep reinforcement learning
With the widespread popularity of the Internet of Things and various intelligent medical
devices, the amount of medical data is rising sharply, and thus medical data processing has …
devices, the amount of medical data is rising sharply, and thus medical data processing has …
Com-DDPG: Task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles
H Gao, X Wang, W Wei, A Al-Dulaimi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …
computation-intensive and time-sensitive related services for data processing and …
A learning-based approach for vehicle-to-vehicle computation offloading
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
AI-driven blind signature classification for IoT connectivity: A deep learning approach
J Pan, N Ye, H Yu, T Hong, S Al-Rubaye… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) promises to fulfill the fast-growing connectivities in
future Internet of Things (IoT) using abundant multiple-access signatures. While explicitly …
future Internet of Things (IoT) using abundant multiple-access signatures. While explicitly …
Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
A digital twin-assisted intelligent partial offloading approach for vehicular edge computing
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Ultra-low AoI digital twin-assisted resource allocation for multi-mode power IoT in distribution grid energy management
Age of information (AoI) is an important metric of information timeliness, which determines
digital twin (DT) consistency and energy management precision. However, AoI guarantee in …
digital twin (DT) consistency and energy management precision. However, AoI guarantee in …