[PDF][PDF] Decentralized vehicular edge computing framework for energy-efficient task coordination
Vehicular edge computing (VEC) empowers realtime applications in the autonomous
vehicle (AV) domain by positioning edge servers closer to AVs. This proximity reduces …
vehicle (AV) domain by positioning edge servers closer to AVs. This proximity reduces …
[HTML][HTML] Federated deep reinforcement learning based task offloading with power control in vehicular edge computing
S Moon, Y Lim - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
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 …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
SaVE: Self-aware Vehicular Edge Computing with Efficient Resource Allocation
A Akbar, SB Belhaouarie - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) generates an enormous amount of data, and the traditional
approaches of task offloading lead to high energy consumption and latency. This paper …
approaches of task offloading lead to high energy consumption and latency. This paper …
Deep Reinforcement Learning for Energy-Efficient Task Offloading in Cooperative Vehicular Edge Networks
In the Internet of Vehicle ecosystem, multi-access edge computing (MEC) enables mobile
nodes to improve their communication and computation capabilities by executing …
nodes to improve their communication and computation capabilities by executing …
Intelligent and Decentralized Resource Allocation in Vehicular Edge Computing Networks
With the rise of intelligent transportation systems and the increasing diversity of vehicular
applications, such as safety-related features, parking navigation, and multimedia …
applications, such as safety-related features, parking navigation, and multimedia …
Mean-field reinforcement learning for decentralized task offloading in vehicular edge computing
Abstract Vehicular Edge Computing (VEC) is a promising paradigm for providing low-latency
and high-reliability services in the Internet of Vehicles (IoV). The increasing number of …
and high-reliability services in the Internet of Vehicles (IoV). The increasing number of …
Latency-energy tradeoff in connected autonomous vehicles: A deep reinforcement learning scheme
Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing
closer to user equipment (UEs) at the edge of the access network by delivering various …
closer to user equipment (UEs) at the edge of the access network by delivering various …
Deep reinforcement learning edge workload orchestrator for vehicular edge computing
EN Silva, FM Da Silva - 2023 IEEE 9th International …, 2023 - ieeexplore.ieee.org
Smart vehicles in Vehicular Edge Computing Environments run latency sensitive
applications, such as driver assistance, autonomous driving, accident prevention and others …
applications, such as driver assistance, autonomous driving, accident prevention and others …