Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Computation offloading and service caching for intelligent transportation systems with digital twin

X Xu, Z Liu, M Bilal, S Vimal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …

DDPQN: An efficient DNN offloading strategy in local-edge-cloud collaborative environments

M Xue, H Wu, G Peng, K Wolter - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and communication technology,
Deep Neural Network (DNN) applications like computer vision, can now be widely used in …

MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments

Z Zhang, N Wang, H Wu, C Tang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …

DNN partition and offloading strategy with improved particle swarm genetic algorithm in VEC

C Li, L Chai, K Jiang, Y Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Video data offloading techniques in Mobile Edge Computing: A survey

H Ma, B Ji, H Wu, L Xing - Physical Communication, 2023 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …

[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs

MA Mirza, J Yu, S Raza, M Krichen, M Ahmed… - Journal of King Saud …, 2023 - Elsevier
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …

An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network

X Wu, S Dong, J Hu, Z Huang - Simulation Modelling Practice and Theory, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) provides flexible distributed computing paradigm
for vehicular network through computation offloading. With the advent of a growing of …

Joint offloading and resource allocation for hybrid cloud and edge computing in SAGINs: A decision assisted hybrid action space deep reinforcement learning …

C Huang, G Chen, P Xiao, Y Xiao, Z Han… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
In recent years, the amalgamation of satellite communications and aerial platforms into
space-air-ground integrated network (SAGINs) has emerged as an indispensable area of …

Integrated sensing, computation, and communication: system framework and performance optimization

Y He, G Yu, Y Cai, H Luo - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Integrated sensing, computation, and communication (ISCC) has been recently considered
as a promising technique for beyond 5G systems. In ISCC systems, the competition for …