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Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario

https://doi.org/10.3390/electronics10233038

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What this work says

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

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Internet of Vehicles: Architecture, services, and applications

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Quality of experience‐driven resource allocation in vehicular cloud long‐term evolution networks

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Adaptive Task Offloading in Vehicular Edge Computing Networks: a Reinforcement Learning Based Scheme

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A survey on the communication and network enablers for cloud-based services: state of the art, challenges, and opportunities

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Cloud computing: state-of-the-art and research challenges

inferredcites →https://doi.org/10.1016/j.comcom.2019.07.016openalex-snapshot

D2D data offloading in vehicular environments with optimal delivery time selection

inferredcites →https://doi.org/10.1017/cbo9780511807213openalex-snapshot

Fundamentals of Wireless Communication

inferredcites →https://doi.org/10.1109/access.2017.2779844openalex-snapshot

A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges

inferredcites →https://doi.org/10.1109/access.2018.2878552openalex-snapshot

Data Offloading Techniques Through Vehicular Ad Hoc Networks: A Survey

inferredcites →https://doi.org/10.1109/access.2019.2947053openalex-snapshot

A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing

inferredcites →https://doi.org/10.1109/cloudnet.2018.8549536openalex-snapshot

Cloud Computing Model for Vehicular Ad hoc Networks

inferredcites →https://doi.org/10.1109/comst.2014.2369742openalex-snapshot

Data Offloading Techniques in Cellular Networks: A Survey

inferredcites →https://doi.org/10.1109/comst.2017.2745201openalex-snapshot

A Survey on Mobile Edge Computing: The Communication Perspective

inferredcites →https://doi.org/10.1109/comst.2021.3061981openalex-snapshot

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

inferredcites →https://doi.org/10.1109/icacce.2018.8441740openalex-snapshot

A Survey of Mobile Computation Offloading: Applications, Approaches and Challenges

inferredcites →https://doi.org/10.1109/icc.2017.7997477openalex-snapshot

Joint offloading and computing optimization in wireless powered mobile-edge computing systems

inferredcites →https://doi.org/10.1109/icoac44903.2018.8939075openalex-snapshot

Mobility Management for Critical Time and Delay Tolerant Applications in Vehicular Networks

inferredcites →https://doi.org/10.1109/icoin.2019.8718183openalex-snapshot

Prediction Based Sub-Task Offloading in Mobile Edge Computing

inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot

Edge Computing: Vision and Challenges

inferredcites →https://doi.org/10.1109/jiot.2019.2943373openalex-snapshot

Multi-User Offloading for Edge Computing Networks: A Dependency-Aware and Latency-Optimal Approach

inferredcites →https://doi.org/10.1109/jsac.2018.2815360openalex-snapshot

Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network

inferredcites →https://doi.org/10.1109/mce.2016.2590099openalex-snapshot

Mobile-Edge Computing and the Internet of Things for Consumers: Extending cloud computing and services to the edge of the network

inferredcites →https://doi.org/10.1109/mobilecloud.2016.15openalex-snapshot

A Survey of Computational Offloading in Mobile Cloud Computing

inferredcites →https://doi.org/10.1109/sahcn.2019.8824941openalex-snapshot

Dependency-Aware and Latency-Optimal Computation Offloading for Multi-User Edge Computing Networks

inferredcites →https://doi.org/10.1109/tafgen.2015.7289571openalex-snapshot

Cloud computing challenges and opportunities: A survey

inferredcites →https://doi.org/10.1109/tits.2020.2994972openalex-snapshot

Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects

inferredcites →https://doi.org/10.1109/tmc.2010.133openalex-snapshot

Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis

inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot

Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing

inferredcites →https://doi.org/10.1109/tvt.2019.2904244openalex-snapshot

Collaborative Cloud and Edge Computing for Latency Minimization

inferredcites →https://doi.org/10.1109/twc.2016.2633522openalex-snapshot

Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

inferredcites →https://doi.org/10.1109/twc.2019.2959300openalex-snapshot

Energy Efficiency and Delay Tradeoff for Wireless Powered Mobile-Edge Computing Systems With Multi-Access Schemes

inferredcites →https://doi.org/10.1109/wispnet.2016.7566433openalex-snapshot

Comprehensive survey of V2V communication for 4G mobile and wireless technology

inferredcites →https://doi.org/10.1155/2019/4835923openalex-snapshot

Spectrum Sharing with Dynamic Cournot Game in Vehicle-Enabled Cognitive Small-Cell Networks

inferredcites →https://doi.org/10.1186/s13638-020-1652-5openalex-snapshot

Energy-efficient offloading decision-making for mobile edge computing in vehicular networks

inferredcites →https://doi.org/10.3390/electronics10080965openalex-snapshot

Wireless Powered Mobile Edge Computing Systems: Simultaneous Time Allocation and Offloading Policies

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10586-025-05197-0openalex-snapshot

Optimizing task offloading and resource allocation in latency-constrained vehicular edge computing

inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108081openalex-snapshot

Multi-agent deep reinforcement learning-based partial offloading and resource allocation in vehicular edge computing networks

inferred← citeshttps://doi.org/10.1109/jiot.2023.3247013openalex-snapshot

Deep-Reinforcement-Learning-Based Distributed Computation Offloading in Vehicular Edge Computing Networks

inferred← citeshttps://doi.org/10.1109/smartiot66867.2025.00012openalex-snapshot

Evaluating Offloading Strategies in the IoT Continuum: a simulation-based approach

inferred← citeshttps://doi.org/10.1109/tnsm.2026.3669913openalex-snapshot

jTOLP-MADRL: A MADRL-Based Joint Optimization Algorithm of Task Offloading Location and Proportion for Latency-Sensitive Tasks in Vehicle Edge Computing Network

inferred← citeshttps://doi.org/10.1109/tsusc.2024.3381841openalex-snapshot

Deadline-Aware Cost and Energy Efficient Offloading in Mobile Edge Computing

inferred← citeshttps://doi.org/10.2174/2212797616666230831124454openalex-snapshot

Task Offloading of Intelligent Building Based on Dependency-Aware in Edge Computing

inferred← citeshttps://doi.org/10.32604/cmc.2024.056286openalex-snapshot

Computation Offloading in Edge Computing for Internet of Vehicles via Game Theory

inferred← citeshttps://doi.org/10.3390/electronics12183741openalex-snapshot

Edge Collaborative Online Task Offloading Method Based on Reinforcement Learning

inferred← citeshttps://doi.org/10.3390/math10071010openalex-snapshot

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

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