Task co-offloading for D2D-assisted mobile edge computing in industrial internet of things

X Dai, Z Xiao, H Jiang, M Alazab… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

D2D-enabled mobile-edge computation offloading for multiuser IoT network

Y Yang, C Long, J Wu, S Peng… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The emerging mobile-edge computing paradigm provides opportunities for the resource-
hungry mobile devices (MDs) to migrate computation. In order to satisfy the requirements of …

Sdn-assisted mobile edge computing for collaborative computation offloading in industrial internet of things

C Tang, C Zhu, N Zhang, M Guizani… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) can provision augmented computational capacity in proximity
so as to better support Industrial Internet of Things (IIoT). Tasks from the IIoT devices can be …

Deep reinforcement learning for task offloading in mobile edge computing systems

M Tang, VWS Wong - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
In mobile edge computing systems, an edge node may have a high load when a large
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …

Deep reinforcement learning-based cloud-edge collaborative mobile computation offloading in industrial networks

S Chen, J Chen, Y Miao, Q Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of mobile industrial applications and due to the limited coverage
of static edge servers, traditional edge computing technology has great limitations in …

Computation offloading for distributed mobile edge computing network: A multiobjective approach

F Sufyan, A Banerjee - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …

Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing

Z Wang, T Lv, Z Chang - Computer Networks, 2022 - Elsevier
In this paper, a software defined mobile edge computing (SD-MEC) in Internet of Things
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …

Computation offloading with multiple agents in edge-computing–supported IoT

S Shen, Y Han, X Wang, Y Wang - ACM Transactions on Sensor …, 2019 - dl.acm.org
With the development of the Internet of Things (IoT) and the birth of various new IoT devices,
the capacity of massive IoT devices is facing challenges. Fortunately, edge computing can …

Dynamic task offloading for internet of things in mobile edge computing via deep reinforcement learning

Y Chen, W Gu, K Li - International Journal of Communication …, 2022 - Wiley Online Library
With the development of Internet of Things (IoT), more and more computation‐intensive
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …

Ultra-low latency multi-task offloading in mobile edge computing

H Zhang, Y Yang, X Huang, C Fang, P Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
With the development of computer technology, computational-intensive and delay-sensitive
applications are emerging endlessly, and they are limited by the computing power and …