[PDF][PDF] Decentralized vehicular edge computing framework for energy-efficient task coordination

M Fardad, GM Muntean, I Tal - 2024 IEEE 99th Vehicular …, 2024 - researchgate.net
Vehicular edge computing (VEC) empowers realtime applications in the autonomous
vehicle (AV) domain by positioning edge servers closer to AVs. This proximity reduces …

System-Wide Energy Efficient Computation Offloading in Vehicular Edge Computing With Speed Adjustment

H Li, X Li, M Zhang, B Ulziinyam - IEEE Transactions on Green …, 2024 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communications in future 6G intelligent transportation systems
are expected to enable various convenience applications which consume amount of …

Deep reinforcement learning-empowered resource allocation for mobile edge computing in cellular v2x networks

D Li, S Xu, P Li - Sensors, 2021 - mdpi.com
With the rapid development of vehicular networks, vehicle-to-everything (V2X)
communications have huge number of tasks to be calculated, which brings challenges to the …

Deep reinforcement learning for vehicular edge computing: An intelligent offloading system

Z Ning, P Dong, X Wang, JJPC Rodrigues… - ACM Transactions on …, 2019 - dl.acm.org
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …

Collaborative computing in vehicular networks: A deep reinforcement learning approach

M Li, J Gao, N Zhang, L Zhao… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been recognized as a promising technology to support
various emerging services in vehicular networks. With MEC, vehicle users can offload their …

Dependency-aware task offloading for vehicular edge computing with end-edge-cloud collaborative computing

G Liu, F Dai, B Huang, Z Qiang, S Wang, L Li - 2022 - researchsquare.com
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It aids vehicles …

Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution

J Gao, Z Kuang, J Gao, L Zhao - IEEE transactions on vehicular …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

A situation enabled framework for energy-efficient workload offloading in 5G vehicular edge computing

CY Yu, CK Chang, W Zhang - 2020 IEEE World Congress on …, 2020 - ieeexplore.ieee.org
Cloud based vehicular edge computing is a promising technology to deliver quality of
services for accessing public cloud from vehicles. As in-vehicle computers (eg onboard …

Reverse computing offloading for enhanced computing capacity in cooperative vehicle infrastructure system

J Feng, W Feng, S Lin - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Cooperative Vehicle-Infrastructure System (CVIS) and Vehicular Edge Computing (VEC)
have brought more possibilities for the intelligent transportation system. In CVIS, the amount …

A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach

G Liu, F Dai, B Huang, Z Qiang, S Wang, L Li - Journal of Cloud …, 2022 - Springer
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …