Dynamic edge computation offloading for internet of vehicles with deep reinforcement learning
Recent developments in the Internet of Vehicles (IoV) enabled the myriad emergence of a
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …
Deep reinforcement learning-based computation offloading in vehicular edge computing
Inspired by mobile edge computing (MEC), vehicular edge computing (VEC) enables
vehicle terminals to support resource-hungry on-vehicle applications with significantly lower …
vehicle terminals to support resource-hungry on-vehicle applications with significantly lower …
Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …
[HTML][HTML] Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing
B Lin, K Lin, C Lin, Y Lu, Z Huang, X Chen - Journal of Cloud Computing, 2021 - Springer
Abstract Connected and Automated Vehicle (CAV) is a transformative technology that has
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …
Multiagent deep reinforcement learning for vehicular computation offloading in IoT
X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …
environment for users. Various emerging vehicular applications using artificial intelligence …
Deep reinforcement learning for vehicular edge computing: An intelligent offloading system
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …
environment. Various emerging applications are promising to enrich users' traveling …
A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
Computing on wheels: A deep reinforcement learning-based approach
Future generation vehicles equipped with modern technologies will impose unprecedented
computational demand due to the wide adoption of compute-intensive services with …
computational demand due to the wide adoption of compute-intensive services with …
Knowledge-driven service offloading decision for vehicular edge computing: A deep reinforcement learning approach
The smart vehicles construct Internet of Vehicle (IoV), which can execute various intelligent
services. Although the computation capability of a vehicle is limited, multi-type of edge …
services. Although the computation capability of a vehicle is limited, multi-type of edge …
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