vConnect: V2V Connectivity Prediction and Independent Task Offloading Framework in Vehicular Edge Computing
Vehicular Edge Computing enables the utilization of idle resources on vehicles. Task offloading schemes have been widely investigated to satisfy the need for high computational power. In this paper, we propose a novel V2V connectivity prediction and independent task offloading framework for vehicula...
Saved in:
| Main Authors: | Adsadawut Chanakitkarnchok, Kiattikun Kawila, Kultida Rojviboonchai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11072159/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
What If VEC Is Moving: Probabilistic Model of Task Execution Through Offloading in Vehicular Computing Environments
by: Asmaa Ibrahim, et al.
Published: (2024-01-01) -
Distributed RL-Based Resource Allocation and Task Offloading for Vehicular Edge of Things Computing
by: Ghada Afifi, et al.
Published: (2025-01-01) -
Task offloading delay minimization in vehicular edge computing based on vehicle trajectory prediction
by: Feng Zeng, et al.
Published: (2025-04-01) -
Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading
by: Ibrahim A. Elgendy, et al.
Published: (2024-01-01) -
Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading
by: Mohamed Kamel Benbraika, et al.
Published: (2024-10-01)