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Task-Offloading Strategy Based on Performance Prediction in Vehicular Edge Computing

https://doi.org/10.3390/math10071010
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-86137-7_32openalex-snapshot
Deep Learning-Based Task Offloading for Vehicular Edge Computing
inferredcites →https://doi.org/10.1007/s11036-020-01624-1openalex-snapshot
Vehicular Edge Computing and Networking: A Survey
inferredcites →https://doi.org/10.1109/access.2017.2652283openalex-snapshot
IEEE Access Special Section Editorial: Advances in Vehicular Clouds
inferredcites →https://doi.org/10.1109/access.2019.2896000openalex-snapshot
Matching-Based Task Offloading for Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/access.2019.2961372openalex-snapshot
Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward
inferredcites →https://doi.org/10.1109/access.2020.3023939openalex-snapshot
Task Offloading Strategy Based on Reinforcement Learning Computing in Edge Computing Architecture of Internet of Vehicles
inferredcites →https://doi.org/10.1109/fmec.2017.7946405openalex-snapshot
EdgeCloudSim: An environment for performance evaluation of Edge Computing systems
inferredcites →https://doi.org/10.1109/iscc47284.2019.8969594openalex-snapshot
Joint Communication and Computing Optimization for Hierarchical Machine Learning Tasks Distribution
inferredcites →https://doi.org/10.1109/isco.2016.7727082openalex-snapshot
A survey on mobile edge computing
inferredcites →https://doi.org/10.1109/jiot.2017.2750180openalex-snapshot
Mobile Edge Computing: A Survey
inferredcites →https://doi.org/10.1109/jiot.2018.2875542openalex-snapshot
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2959035openalex-snapshot
Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT
inferredcites →https://doi.org/10.1109/jiot.2020.2989745openalex-snapshot
Game-Theoretic Algorithm Designs and Analysis for Interactions Among Contributors in Mobile Crowdsourcing With Word of Mouth
inferredcites →https://doi.org/10.1109/jiot.2020.2996784openalex-snapshot
Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2021.3110412openalex-snapshot
Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing
inferredcites →https://doi.org/10.1109/mvt.2018.2879647openalex-snapshot
Mobile Edge Computing for the Internet of Vehicles: Offloading Framework and Job Scheduling
inferredcites →https://doi.org/10.1109/tits.2019.2959743openalex-snapshot
A Survey of Vehicular Cloud Research: Trends, Applications and Challenges
inferredcites →https://doi.org/10.1109/tits.2020.2980422openalex-snapshot
Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tits.2020.3024233openalex-snapshot
Machine Learning-Based Workload Orchestrator for Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tvt.2017.2714704openalex-snapshot
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling
inferredcites →https://doi.org/10.1109/wcsp.2018.8555695openalex-snapshot
An Efficient Offloading Algorithm Based on Support Vector Machine for Mobile Edge Computing in Vehicular Networks
inferredcites →https://doi.org/10.1145/3308558.3313497openalex-snapshot
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1155/2019/3159762openalex-snapshot
A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions
inferredcites →https://doi.org/10.3390/electronics10233038openalex-snapshot
Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario
inferredcites →https://doi.org/10.3390/info11010021openalex-snapshot
A Review of Blockchain-Based Systems in Transportation
inferredcites →https://doi.org/10.3837/tiis.2019.10.002openalex-snapshot
An Overview of Mobile Edge Computing: Architecture, Technology and Direction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-95-6136-0_14openalex-snapshot
Task Load Balancing in the Vehicular Edge Computing Layer Using Traffic Prediction
inferred← citeshttps://doi.org/10.1007/978-981-96-7140-3_31openalex-snapshot
Attention-Enhanced LSTM Model for Task Offloading in Industrial Edge Computing
inferred← citeshttps://doi.org/10.1007/s10723-023-09724-4openalex-snapshot
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles
inferred← citeshttps://doi.org/10.1007/s13198-024-02616-0openalex-snapshot
Novel multi-dimensional task offloading techniques for vehicular edge computing networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111829openalex-snapshot
Artificial intelligence based approaches for vehicular cloud and vehicular fog networks: An overview
inferred← citeshttps://doi.org/10.1016/j.future.2026.108613openalex-snapshot
PLUTO: Platooning through Uncertainty-aware Task Offloading
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103886openalex-snapshot
Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
inferred← citeshttps://doi.org/10.1109/cascon62161.2024.10837975openalex-snapshot
Machine Learning-Based Workload Prediction in Vehicular Platooning Systems
inferred← citeshttps://doi.org/10.1109/eccs58882.2023.00018openalex-snapshot
Server Capacity Planning Based Task Computation Offloading in Vehicular Edge Computing Networks
inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10421846openalex-snapshot
Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/jiot.2022.3222408openalex-snapshot
Efficient Task Allocation for Computation Offloading in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/netsoft57336.2023.10175484openalex-snapshot
Deep Reinforcement Learning Edge Workload Orchestrator for Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tits.2023.3290619openalex-snapshot
Potential Game Based Task Offloading in the High-Speed Railway With Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tits.2024.3525356openalex-snapshot
Reinforcement Learning Based Edge-End Collaboration for Multi-Task Scheduling in 6G Enabled Intelligent Autonomous Transport Systems
inferred← citeshttps://doi.org/10.1109/wf-iot58464.2023.10539572openalex-snapshot
Improving Mobile Edge Computing Orchestration Using Deep Reinforcement Learning Through Environment Predictions
inferred← citeshttps://doi.org/10.1145/3616392.3623413openalex-snapshot
Optimizing Task and CPU Predictions in Vehicular Edge Computing Orchestrators
inferred← citeshttps://doi.org/10.3390/electronics13163130openalex-snapshot
Traffic-Aware Intelligent Association and Task Offloading for Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.3390/fi15120391openalex-snapshot
A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular Networks
inferred← citeshttps://doi.org/10.3390/math10234616openalex-snapshot
MACA: Multi-Agent with Credit Assignment for Computation Offloading in Smart Parks Monitoring
inferred← citeshttps://doi.org/10.3390/math11173798openalex-snapshot
Stable Matching Assisted Resource Allocation in Fog Computing Based IoT Networks
inferred← citeshttps://doi.org/10.3390/math12131966openalex-snapshot
Joint UAV Deployment and Task Offloading in Large-Scale UAV-Assisted MEC: A Multiobjective Evolutionary Algorithm
inferred← citeshttps://doi.org/10.3390/s22103678openalex-snapshot
Dynamic Task Offloading for Cloud-Assisted Vehicular Edge Computing Networks: A Non-Cooperative Game Theoretic Approach
inferred← citeshttps://doi.org/10.3390/s23062931openalex-snapshot
Self-* Capabilities of Cloud-Edge Nodes: A Research Review
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