Deep reinforcement learning based cooperative partial task offloading and resource allocation for IIoT applications
The Industrial Internet of Things (IIoT) has been regarded as one of the pillars supporting the
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …
Cooperative partial task offloading and resource allocation for iiot based on decentralized multi-agent deep reinforcement learning
Edge computing has become increasingly important to fulfill the diversified Quality-of-
Service (QoS) or Quality-of-Experience (QoE) demands for Industrial Internet of Things (IIoT) …
Service (QoS) or Quality-of-Experience (QoE) demands for Industrial Internet of Things (IIoT) …
A DRL-driven intelligent joint optimization strategy for computation offloading and resource allocation in ubiquitous edge IoT systems
Intelligent computation offloading and resource allocation for mobile users (MUs) in
ubiquitous edge Internet of Things (IoT) systems is a worthy research hotspot. To improve …
ubiquitous edge Internet of Things (IoT) systems is a worthy research hotspot. To improve …
Collaborative cloud-edge-end task offloading with task dependency based on deep reinforcement learning
T Tang, C Li, F Liu - Computer Communications, 2023 - Elsevier
With the explosive growth of the Internet of Things (IoT), IoT devices generate massive
amounts of data and demand, which poses a huge challenge to IoT devices with limited …
amounts of data and demand, which poses a huge challenge to IoT devices with limited …
An optimal transport-based federated reinforcement learning approach for resource allocation in cloud-edge collaborative iot
D Gan, X Ge, Q Li - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In the traditional cloud–edge collaborative Internet of Things (IoT), the high-communication
cost and slow convergence of the models often result in high-delay and energy …
cost and slow convergence of the models often result in high-delay and energy …
Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things
J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …
the network edge. However, most existing computation offloading strategies consider only …
Edge intelligence: A computational task offloading scheme for dependent IoT application
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …
Satellite-assisted edge computing management based on deep reinforcement learning in industrial internet of things
Y Zhu, D Lu - Computer Networks, 2023 - Elsevier
The insufficient edge computing equipment in remote areas cannot meet explosively
growing computing needs of industrial Internet of things devices, which undoubtedly leads to …
growing computing needs of industrial Internet of things devices, which undoubtedly leads to …
Edge intelligence-driven joint offloading and resource allocation for future 6G industrial Internet of Things
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …
evolution from connected things to connected intelligence. Additionally, data scattered …
Dual-timescale resource allocation for collaborative service caching and computation offloading in IoT systems
Edge computing has been envisioned as a key enabler to provide computation-intensive
and delay-sensitive services in the future Internet of Things systems. By offloading the …
and delay-sensitive services in the future Internet of Things systems. By offloading the …
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