Task offloading and resource allocation in vehicular networks: A Lyapunov-based deep reinforcement learning approach
AS Kumar, L Zhao, X Fernando - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks
Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …
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 …
The trade-offs between Fog Processing and Communications in latency-sensitive Vehicular Fog Computing
FF de Mendonça Junior, Z Kokkinogenis… - Pervasive and Mobile …, 2022 - Elsevier
In a vehicular fog computing paradigm, connected autonomous vehicles are envisioned as
processing nodes (ie fog nodes) so that end-devices may offload processing tasks to them …
processing nodes (ie fog nodes) so that end-devices may offload processing tasks to them …
Task offloading in vehicular fog computing: State-of-the-art and open issues
AMA Hamdi, FK Hussain, OK Hussain - Future Generation Computer …, 2022 - Elsevier
Vehicular fog computing (VFC) has been proposed as a promising solution to overcome the
limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can …
limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can …
Joint load balancing and offloading in vehicular edge computing and networks
Y Dai, D Xu, S Maharjan… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …
it quite a challenge for vehicles to be able to provide the required level of computation …
A novel utility based resource management scheme in vehicular social edge computing
F Lin, X Lü, I You, X Zhou - IEEE Access, 2018 - ieeexplore.ieee.org
Vehicular network aims at providing intelligent transportation and ubiquitous network
access. Edge computing is able to reduce the consumption of core network bandwidth and …
access. Edge computing is able to reduce the consumption of core network bandwidth and …
A collaborative task offloading scheme in vehicular edge computing
The increase of mobile applications in the internet of vehicles (IoVs), necessitates the
demand for higher computation capabilities. Vehicles can transfer related applications to …
demand for higher computation capabilities. Vehicles can transfer related applications to …
A Deep-Reinforcement-Learning-Based Computation Offloading With Mobile Vehicles in Vehicular Edge Computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …