Learning based energy efficient task offloading for vehicular collaborative edge computing
Extensive delay-sensitive and computation-intensive tasks are involved in emerging
vehicular applications. These tasks can hardly be all processed by the resource constrained …
vehicular applications. These tasks can hardly be all processed by the resource constrained …
Distributed task offloading for large-scale vec systems: A multi-agent deep reinforcement learning method
Y Lu, D Han, X Wang, Q Gao - 2022 14th International …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising technology to meet the ultra-low delay
requirements of many emerging Internet of Vehicles (IoV) resource-intensive tasks. Based …
requirements of many emerging Internet of Vehicles (IoV) resource-intensive tasks. Based …
Towards Efficient Task Offloading with Dependency Guarantees in Vehicular Edge Networks through Distributed Deep Reinforcement Learning
The proliferation of computation-intensive and delay-sensitive applications in the Internet of
Vehicles (IoV) poses great challenges to resource-constrained vehicles. To tackle this issue …
Vehicles (IoV) poses great challenges to resource-constrained vehicles. To tackle this issue …
Task offloading and serving handover of vehicular edge computing networks based on trajectory prediction
Vehicular edge computing (VEC) has emerged as a promising paradigm to ensure the real-
time task processing caused by the emerging 5G or high level intelligent assisted driving …
time task processing caused by the emerging 5G or high level intelligent assisted driving …
Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Vehicular Edge Computing Networks
J Yan, X Zhao, Z Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is considered to be a key technology to improve the
processing efficiency of computing tasks for the Internet of Vehicles (IoV). Using roadside …
processing efficiency of computing tasks for the Internet of Vehicles (IoV). Using roadside …
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
Computing on wheels: A deep reinforcement learning-based approach
Future generation vehicles equipped with modern technologies will impose unprecedented
computational demand due to the wide adoption of compute-intensive services with …
computational demand due to the wide adoption of compute-intensive services with …
Joint partial offloading and resource allocation for distributed multi-access edge computing enabled vehicular network
In the foreseeable Intelligent Transportation System (ITS), Intelligent Connected Vehicles
(ICVs) will play an important role in improving travel efficiency and safety. However, it is …
(ICVs) will play an important role in improving travel efficiency and safety. However, it is …
Handover-enabled dynamic computation offloading for vehicular edge computing networks
The computation offloading technique is a promising solution that empowers
computationally limited resource devices to run delay-constrained applications efficiently …
computationally limited resource devices to run delay-constrained applications efficiently …
Deadline-aware task offloading in vehicular networks using deep reinforcement learning
MK Farimani, S Karimian-Aliabadi… - Expert Systems with …, 2024 - Elsevier
Smart vehicles have a rising demand for computation resources, and recently vehicular
edge computing has been recognized as an effective solution. Edge servers deployed in …
edge computing has been recognized as an effective solution. Edge servers deployed in …