Smart collaborative automation for receive buffer control in multipath industrial networks

F Song, Z Ai, Y Zhou, I You, KKR Choo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Artificial intelligence is being utilized in multipath industrial networks to enhance service
supporting ability. However, existing obstacles in controlling receive buffer restrict …

-MPTCP: A Learning-Driven Latency-Aware Multipath Transport Scheme for Industrial Internet Applications

Y Cao, R Ji, L Ji, G Lei, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With various industrial wireless networks greeting booming development, modern industrial
devices configured with several network interfaces increasingly become the norm. Such …

Cross-network fusion and scheduling for heterogeneous networks in smart factory

J Wan, J Yang, S Wang, D Li, P Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In the context of Industry 4.0, extensive deployment and application of advanced
manufacturing equipment and various sensors is leading to a growing demand for data …

Toward Deep Q-Network-Based Resource Allocation in Industrial Internet of Things

F Liang, W Yu, X Liu, D Griffith… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the increasing adoption of Industrial Internet-of-Things (IIoT) devices, infrastructures,
and supporting applications, it is critical to design schemes to effectively allocate resources …

Fog assisted 6TiSCH tri-layer network architecture for adaptive scheduling and energy-efficient offloading using rank-based Q-learning in smart industries

A Rafiq, W Ping, W Min… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The smart industry is a significant realization of the internet of things. IPv6 over time-slotted
channel hopping (6TiSCH) is the new standard that has emerged as a promising technology …

Multipath communication with deep Q-network for industry 4.0 automation and orchestration

SR Pokhrel, S Garg - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
In this article, we design a novel multipath communication framework for Industry 4.0 using
deep Q-network [1] to achieve human-level intelligence in networking automation and …

Reinforcement learning-based control and networking co-design for industrial internet of things

H Xu, X Liu, W Yu, D Griffith… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Industrial Internet-of-Things (IIoT), also known as Industry 4.0, is the integration of Internet of
Things (IoT) technology into the industrial manufacturing system so that the connectivity …

Performance optimization for energy-efficient industrial Internet of Things based on ambient backscatter communication: An A3C-FL approach

Y Huang, M Li, FR Yu, P Si… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The recent advent of the Industry 4.0 era has led to the need to transform the industrial
Internet of Things towards green, low-carbon and sustainable development. This is due to …

QoS-aware cross-layer configuration for industrial wireless sensor networks

F Dobslaw, T Zhang, M Gidlund - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In many applications of industrial sensor networks, stringent reliability and maximum delay
constraints paired with priority demands on a sensor-basis are present. These quality of …

Function split between delay-constrained routing and resource allocation for centrally managed QoS in industrial networks

JW Guck, M Reisslein, W Kellerer - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Industrial networks demand centrally controlled quality of service (QoS), often in the form of
hard real-time guarantees. Software-defined networking (SDN) provides a convenient …