Abstract
No public abstract is available from the verified source records.
Wenli Shang, Zhenbang Jiang, Gangfu Li, Zhuo Chen, Zhong Cao
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Edge computing in industrial internet of things: Architecture, advances and challenges
10.1109/comst.2020.3009103 · 2020
A novel graph-based computation offloading strategy for workflow applications in mobile edge computing
10.1109/tsc.2022.3180067 · 2023
Efficient revocable anonymous authentication mechanism for edge intelligent controllers
10.1109/jiot.2023.3237609 · 2023
Industrial edge computing enabling embedded intelligence
10.1109/mie.2019.2943283 · 2019
Resource scheduling in edge computing: A survey
10.1109/comst.2021.3106401 · 2021
Personalized privacy-aware task offloading for edge-cloud-assisted industrial internet of things in automated manufacturing
10.1109/tii.2022.3159822 · 2022
D3PG: Dirichlet DDPG for task partitioning and offloading with constrained hybrid action space in mobile-edge computing
10.1109/jiot.2022.3166110 · 2022
Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading
10.1109/twc.2018.2821664 · 2018
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
openalex
Confidence 95%
datacite
Confidence 0%
10.1109/tmc.2019.2928811 · 2020
Federated multiagent actor–critic learning task offloading in intelligent logistics
10.1109/jiot.2023.3244783 · 2023
TARCO: Two-stage auction for D2D relay aided computation resource allocation in HetNet
2021
Computation offloading for partitionable applications in dense networks: An evolutionary game approach
10.1109/jiot.2022.3175729 · 2022
Multi-agent reinforcement learning aided computation offloading in aerial computing for the internet-of-things
2023
Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems
10.1109/twc.2017.2717986 · 2017
Dependency-aware task scheduling in vehicular edge computing
10.1109/jiot.2020.2972041 · 2020
Task offloading for directed acyclic graph applications based on edge computing in industrial internet
10.1016/j.ins.2020.06.001 · 2020
Energy-minimized partial computation offloading for delay-sensitive applications in heterogeneous edge networks
10.1109/tetc.2021.3137980 · 2022
Profit-optimized computation offloading with autoencoder-assisted evolution in large-scale mobile-edge computing
10.1109/jiot.2023.3244665 · 2023
Dependent task offloading in edge computing using GNN and deep reinforcement learning
10.1109/jiot.2024.3374969 · 2024
A deep reinforcement learning approach for dependent task offloading in multi-access edge computing
10.1109/tccn.2024.3520961 · 2025
An efficient task offloading and auto-scaling approach for IoT applications in edge computing environment
10.1007/s00607-025-01471-6 · 2025
Priority-aware task offloading and scheduling for dynamic task management in internet of things
10.1007/s11277-026-12138-6 · 2026
Mobile-edge-computing-based hierarchical machine learning tasks distribution for IIoT
10.1109/jiot.2019.2959035 · 2020
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
10.1109/jiot.2020.3024223 · 2021
LLM-based task offloading and resource allocation in satellite edge computing networks
10.1109/tvt.2025.3612207 · 2026
Evolutionary multi-objective deep reinforcement learning for task offloading in industrial internet of things
10.1109/tnsm.2025.3585148 · 2025
Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems
10.23919/icn.2020.0014 · 2020
Offloading time optimization via Markov decision process in mobile-edge computing
10.1109/jiot.2020.3033285 · 2021
Fast adaptive task offloading in edge computing based on meta reinforcement learning
10.1109/tpds.2020.3014896 · 2021
Federated reinforcement learning for distributed dependent task offloading with batch processing in CPU–GPU heterogeneous MEC
10.1109/tvt.2025.3625594 · 2026
Federated deep recurrent Q-learning for task partitioning and resource allocation in satellite mobile-edge-computing-assisted industrial IoT
10.1109/jiot.2024.3397796 · 2024
Deep reinforcement learning for sequence-to-sequence models
2020
Unresolved referenced work
2023
Distributed optimization of task offloading and resource allocation for mobile edge computing with multifactorial uncertainty
10.1109/tmc.2025.3603064 · 2026
Adaptive task offloading and resource management for vehicular edge computing
10.1109/tvt.2025.3597459 · 2026
Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT
10.1109/tvt.2023.3238771 · 2023
Task computation offloading for multi-access edge computing via attention communication deep reinforcement learning
10.1109/tsc.2022.3225473 · 2023
Joint task offloading and resource allocation for cooperative mobile-edge computing under sequential task dependency
10.1109/jiot.2022.3188933 · 2022
Minimizing the delay and cost of computation offloading for vehicular edge computing
10.1109/tsc.2021.3064579 · 2022
Graph-reinforcement-learning-based task offloading for multiaccess edge computing
10.1109/jiot.2021.3123822 · 2023
Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial internet of things
10.1109/jiot.2022.3209987 · doi-reference
Decentralized scheduling for concurrent tasks in mobile edge computing via deep reinforcement learning
10.1109/tmc.2023.3266226 · doi-reference
Task scheduling with dynamic voltage and frequency scaling for energy minimization in the mobile cloud computing environment
10.1109/tsc.2014.2381227 · doi-reference
List scheduling algorithm for heterogeneous systems by an optimistic cost table
10.1109/tpds.2013.57 · doi-reference
Multitask offloading strategy optimization based on directed acyclic graphs for edge computing
10.1109/jiot.2021.3110412 · doi-reference
Static scheduling algorithms for allocating directed task graphs to multiprocessors
10.1145/344588.344618 · doi-reference
Mobility-aware multi-user offloading optimization for mobile edge computing
10.1109/tvt.2020.2966500 · doi-reference
Graph-reinforcement-learning-based task offloading for multiaccess edge computing
10.1109/jiot.2021.3123822 · doi-reference
Minimizing the delay and cost of computation offloading for vehicular edge computing
10.1109/tsc.2021.3064579 · doi-reference
Joint task offloading and resource allocation for cooperative mobile-edge computing under sequential task dependency
10.1109/jiot.2022.3188933 · doi-reference
Task computation offloading for multi-access edge computing via attention communication deep reinforcement learning
10.1109/tsc.2022.3225473 · doi-reference
Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT
10.1109/tvt.2023.3238771 · doi-reference
Adaptive task offloading and resource management for vehicular edge computing
10.1109/tvt.2025.3597459 · doi-reference
Distributed optimization of task offloading and resource allocation for mobile edge computing with multifactorial uncertainty
10.1109/tmc.2025.3603064 · doi-reference
Federated deep recurrent Q-learning for task partitioning and resource allocation in satellite mobile-edge-computing-assisted industrial IoT
10.1109/jiot.2024.3397796 · doi-reference
Federated reinforcement learning for distributed dependent task offloading with batch processing in CPU–GPU heterogeneous MEC
10.1109/tvt.2025.3625594 · doi-reference
Fast adaptive task offloading in edge computing based on meta reinforcement learning
10.1109/tpds.2020.3014896 · doi-reference
Offloading time optimization via Markov decision process in mobile-edge computing
10.1109/jiot.2020.3033285 · doi-reference
Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems
10.23919/icn.2020.0014 · doi-reference
Evolutionary multi-objective deep reinforcement learning for task offloading in industrial internet of things
10.1109/tnsm.2025.3585148 · doi-reference
LLM-based task offloading and resource allocation in satellite edge computing networks
10.1109/tvt.2025.3612207 · doi-reference
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
10.1109/jiot.2020.3024223 · doi-reference
Mobile-edge-computing-based hierarchical machine learning tasks distribution for IIoT
10.1109/jiot.2019.2959035 · doi-reference
A deep reinforcement learning approach for dependent task offloading in multi-access edge computing
10.1109/tccn.2024.3520961 · doi-reference
Dependent task offloading in edge computing using GNN and deep reinforcement learning
10.1109/jiot.2024.3374969 · doi-reference
Profit-optimized computation offloading with autoencoder-assisted evolution in large-scale mobile-edge computing
10.1109/jiot.2023.3244665 · doi-reference
Energy-minimized partial computation offloading for delay-sensitive applications in heterogeneous edge networks
10.1109/tetc.2021.3137980 · doi-reference
Task offloading for directed acyclic graph applications based on edge computing in industrial internet
10.1016/j.ins.2020.06.001 · doi-reference
Dependency-aware task scheduling in vehicular edge computing
10.1109/jiot.2020.2972041 · doi-reference
Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems
10.1109/twc.2017.2717986 · doi-reference
Computation offloading for partitionable applications in dense networks: An evolutionary game approach
10.1109/jiot.2022.3175729 · doi-reference
Federated multiagent actor–critic learning task offloading in intelligent logistics
10.1109/jiot.2023.3244783 · doi-reference
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
10.1109/tmc.2019.2928811 · doi-reference
Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading
10.1109/twc.2018.2821664 · doi-reference
D3PG: Dirichlet DDPG for task partitioning and offloading with constrained hybrid action space in mobile-edge computing
10.1109/jiot.2022.3166110 · doi-reference
Priority-aware task offloading and scheduling for dynamic task management in internet of things
10.1007/s11277-026-12138-6 · doi-reference
Personalized privacy-aware task offloading for edge-cloud-assisted industrial internet of things in automated manufacturing
10.1109/tii.2022.3159822 · doi-reference
Resource scheduling in edge computing: A survey
10.1109/comst.2021.3106401 · doi-reference
Industrial edge computing enabling embedded intelligence
10.1109/mie.2019.2943283 · doi-reference
Efficient revocable anonymous authentication mechanism for edge intelligent controllers
10.1109/jiot.2023.3237609 · doi-reference