Deep deterministic policy gradient-based algorithm for computation offloading in iov
The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
Dynamic Offloading Method for Mobile Edge Computing of Internet of Vehicles Based on Multi-Vehicle Users and Multi-MEC Servers
X Dang, L Su, Z Hao, X Shang - Electronics, 2022 - mdpi.com
With the continuous development of intelligent transportation system technology, vehicle
users have higher and higher requirements for low latency and high service quality of task …
users have higher and higher requirements for low latency and high service quality of task …
Mobility-aware partial computation offloading in vehicular networks: A deep reinforcement learning based scheme
J Wang, T Lv, P Huang… - China …, 2020 - ieeexplore.ieee.org
Encouraged by next-generation networks and autonomous vehicle systems, vehicular
networks must employ advanced technologies to guarantee personal safety, reduce traffic …
networks must employ advanced technologies to guarantee personal safety, reduce traffic …
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 …
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 …
Deep reinforcement learning based offloading decision algorithm for vehicular edge computing
X Hu, Y Huang - PeerJ Computer Science, 2022 - peerj.com
Task offloading decision is one of the core technologies of vehicular edge computing.
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …
RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment
With recent advances in sensing technologies and the emerging intelligent transportation
system applications, smart vehicles impose huge requirements on processing computation …
system applications, smart vehicles impose huge requirements on processing computation …
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 …
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 …