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 …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
BARGAIN-MATCH: A game theoretical approach for resource allocation and task offloading in vehicular edge computing networks
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
Urllc-awared resource allocation for heterogeneous vehicular edge computing
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
[HTML][HTML] QoS-SLA-aware adaptive genetic algorithm for multi-request offloading in integrated edge-cloud computing in Internet of vehicles
Abstract The Internet of Vehicles over vehicular ad hoc network is an emerging technology
enabling the development of smart applications focused on improving traffic safety, traffic …
enabling the development of smart applications focused on improving traffic safety, traffic …
DRL-based URLLC-constraint and energy-efficient task offloading for internet of health things
Y Wang, H Wu, RH Jhaveri… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Internet of Health Things (IoHT) is a promising e-Health paradigm that involves offloading
numerous computational-intensive and delay-sensitive tasks from locally limited IoHT points …
numerous computational-intensive and delay-sensitive tasks from locally limited IoHT points …
Distributed clustering-based cooperative vehicular edge computing for real-time offloading requests
Mobile vehicles have been considered as potential edge servers to provide computation
resources for the emerging Intelligent Transportation System (ITS) applications. However …
resources for the emerging Intelligent Transportation System (ITS) applications. However …
pfedlvm: A large vision model (lvm)-driven and latent feature-based personalized federated learning framework in autonomous driving
Deep learning-based Autonomous Driving (AD) models often exhibit poor generalization
due to data heterogeneity in an ever domain-shifting environment. While Federated …
due to data heterogeneity in an ever domain-shifting environment. While Federated …
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 …
Cost-and energy-efficient aerial communication networks with interleaved hovering and flying
This work proposes a methodology for the energy-and cost-efficient 3-D deployment of an
unmanned aerial vehicle (UAV)-based aerial access point (AAP), that exchanges a given …
unmanned aerial vehicle (UAV)-based aerial access point (AAP), that exchanges a given …