Deep reinforcement learning based computation offloading in fog enabled industrial internet of things

Y Ren, Y Sun, M Peng - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Fog computing is seen as a key enabler to meet the stringent requirements of industrial
Internet of Things (IIoT). Specifically, lower latency and IIoT devices' energy consumption …

Underwater pollution tracking based on software-defined multi-tier edge computing in 6G-based underwater wireless networks

C Lin, G Han, J Jiang, C Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
The forthcoming 6G networks are expected to provide a vision of overlapping aerial-ground-
underwater wireless networks. Meanwhile, the rapid development of the Internet of …

Intelligent signal classification in industrial distributed wireless sensor networks based industrial internet of things

M Liu, K Yang, N Zhao, Y Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In industrial sensor networks, complex industrial environments may be encountered leading
to a mix of signals of different types. Complicated interference caused by mixed signals on …

Age-of-information aware scheduling for edge-assisted industrial wireless networks

M Li, C Chen, H Wu, X Guan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial wireless networks (IWNs) have attracted significant attention for providing time-
critical delivery services, which can benefit from device-to-device (D2D) communication for …

Channel-aware latency tail taming in industrial IoT

Q Li, J Chen, M Cheffena, X Shen - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel channel-aware latency taming scheme, called Optimal
Transmission Latency Taming (OTLT), to detect hidden channel state and tame the …

17.16 GOPS\W sustainable FLS-based wireless sensor network for surveillance system using FPGA

HO Ahmed - 2021 Integrated Communications Navigation and …, 2021 - ieeexplore.ieee.org
Enhancing the sustainability of Wireless Sensor Networks (WSN) using different Artificial
Intelligence (AI) approaches is one of the promising research topics nowadays, especially …

IRS assisted high-speed train communications: Performance analysis and optimal configuration

M Gao, B Ai, Y Niu, Q Li, Z Han, Z Zhong… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
High-speed train (HST) communications are envisioned to provide diversified broadband
services by integrating with 5G while the high mobility induces fast-fading channels and …

Priority-aware reinforcement-learning-based integrated design of networking and control for Industrial Internet of Things

H Xu, X Liu, WG Hatcher, G Xu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) envisions the tight coupling of numerous critical industrial
manufacturing subsystems, such as control, networking, and computing through the …

Spectrum Sharing Towards Delay Deterministic Wireless Network: Delay Performance Analysis

Z Wei, L Zhang, G Nie, H Wu, N Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
To accommodate Machine-type Communication (MTC) service, the wireless network needs
to support low-delay and low-jitter data transmission, realizing delay deterministic wireless …

Scheduling Approaches for Joint Optimization of Age and Delay in Industrial Wireless Networks

X Xie, S Gao, H Wang - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
In industrial wireless networks (IWNs), age of information (AoI) and delay are two significant
metrics to measure data freshness and delivery timeliness. In this article, an IWN system with …