Cargando…
Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing
Real-time computation tasks in vehicular edge computing (VEC) provide convenience for vehicle users. However, the efficiency of task offloading seriously affects the quality of service (QoS). The predictive-mode task offloading is limited by computation resources, storage resources and the timelines...
Autores principales: | Yan, Ruibin, Gu, Yijun, Zhang, Zeyu, Jiao, Shouzhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536581/ https://www.ncbi.nlm.nih.gov/pubmed/37766013 http://dx.doi.org/10.3390/s23187954 |
Ejemplares similares
-
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks
por: Raza, Salman, et al.
Publicado: (2021) -
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
por: Moon, Sungwon, et al.
Publicado: (2022) -
ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks
por: Ismail, Leila, et al.
Publicado: (2021) -
Deep reinforcement learning based offloading decision algorithm for vehicular edge computing
por: Hu, Xi, et al.
Publicado: (2022) -
Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach
por: Shi, Wei, et al.
Publicado: (2023)