Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT

H Liao, Z Zhou, X Zhao, L Zhang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Edge computing provides a promising paradigm to support the implementation of Industrial
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …

Edge intelligence-driven joint offloading and resource allocation for future 6G industrial internet of things

Y Gong, H Yao, J Wang, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …

Joint optimization of data offloading and resource allocation with renewable energy aware for IoT devices: A deep reinforcement learning approach

H Ke, J Wang, H Wang, Y Ge - IEEE Access, 2019 - ieeexplore.ieee.org
A large number of connected sensors and devices in Internet of Things (IoT) can generate
large amounts of computing data and increase massive energy consumption. Real-time …

Deep reinforcement learning-based task scheduling in iot edge computing

S Sheng, P Chen, Z Chen, L Wu, Y Yao - Sensors, 2021 - mdpi.com
Edge computing (EC) has recently emerged as a promising paradigm that supports resource-
hungry Internet of Things (IoT) applications with low latency services at the network edge …

AoI-aware energy control and computation offloading for industrial IoT

J Huang, H Gao, S Wan, Y Chen - Future Generation Computer Systems, 2023 - Elsevier
Abstract In Industrial Internet of Things (IIoT), a large volume of data is collected periodically
by IoT devices, and timely data routing and processing are important requirements. Age of …

Artificial intelligence-driven mechanism for edge computing-based industrial applications

AH Sodhro, S Pirbhulal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to various challenging issues such as, computational complexity and more delay in
cloud computing, edge computing has overtaken the conventional process by efficiently and …

Federated learning-based computation offloading optimization in edge computing-supported internet of things

Y Han, D Li, H Qi, J Ren, X Wang - Proceedings of the ACM Turing …, 2019 - dl.acm.org
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …

Energy-efficient space–air–ground integrated edge computing for internet of remote things: A federated DRL approach

Y Liu, L Jiang, Q Qi, S Xie - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Space–air–ground integrated edge computing is expecting to provide pervasive
computation services for Internet of Things (IoT), especially in remote areas. However, the …

Intelligent computation offloading and resource allocation in IIoT with end-edge-cloud computing using NSGA-III

K Peng, H Huang, B Zhao, A Jolfaei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …

Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT

S Xia, Z Yao, Y Li, S Mao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the rapid development and convergence of the mobile Internet and the Internet of
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …