Vehicular task offloading via heat-aware MEC cooperation using game-theoretic method
Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
Delay-optimized V2V-based computation offloading in urban vehicular edge computing and networks
The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …
vehicular communications and networking. Meanwhile, the capability and intelligence of …
Deep reinforcement learning for collaborative edge computing in vehicular networks
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …
vehicular applications, such as intelligent path planning and safety applications. In this …
A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks
Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …
intensive applications by offloading resources at network edge. Especially in vehicular …
Joint task offloading and resource allocation in vehicle-assisted multi-access edge computing
J Xue, Q Hu, Y An, L Wang - Computer Communications, 2021 - Elsevier
Abstract Multi-access Edge Computing (MEC) has significant advantages in improving
resource efficiency of Internet of Things (IoT) and 5G networks, however its limited resources …
resource efficiency of Internet of Things (IoT) and 5G networks, however its limited resources …
A memetic algorithm for cooperative complex task offloading in heterogeneous vehicular networks
With the booming of intelligent connected vehicles as well as the emergence of edge
computing paradigm, complex task offloading becomes a critical yet promising issue in …
computing paradigm, complex task offloading becomes a critical yet promising issue in …
A novel deep reinforcement learning-based approach for task-offloading in vehicular networks
Next-generation vehicular networks will impose unprecedented computation demand due to
the wide adoption of compute-intensive services with stringent latency requirements …
the wide adoption of compute-intensive services with stringent latency requirements …
SAC-based resource allocation for computation offloading in IoV networks
Due to the dynamic nature of a vehicular fog computing environment, efficient real-time
resource allocation in an internet of vehicles (IoV) network without affecting the quality of …
resource allocation in an internet of vehicles (IoV) network without affecting the quality of …
A game theoretic scheme for collaborative vehicular task offloading in 5G HetNets
The 5G heterogeneous networks (HetNets) are capable of providing real-time computing
services for autonomous vehicles (AVs) by deploying edge computing devices (ECDs) at …
services for autonomous vehicles (AVs) by deploying edge computing devices (ECDs) at …
Social welfare maximization in container-based task scheduling for parked vehicle edge computing
Parked vehicle edge computing (PVEC) is proposed to enhance the resource capacity of
vehicular networks by utilizing the resources from parked vehicles (PVs). Toward the flexible …
vehicular networks by utilizing the resources from parked vehicles (PVs). Toward the flexible …