Privacy-aware multiagent deep reinforcement learning for task offloading in vanet
Offloading task to roadside units (RSUs) provides a promising solution for enhancing the
real-time data processing capacity and reducing energy consumption of vehicles in the …
real-time data processing capacity and reducing energy consumption of vehicles in the …
A triggerless backdoor attack and defense mechanism for intelligent task offloading in multi-UAV systems
In recent years, multiunmanned aerial vehicular systems (MUAVs) have become prevalent
in divergent applications: agriculture, spectrum utilization, transportation, forest fire …
in divergent applications: agriculture, spectrum utilization, transportation, forest fire …
PPO2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
Improving the performance of tasks offloading for internet of vehicles via deep reinforcement learning methods
With the rapid development of communication technologies, the quality of our daily life has
been improved with the applications of smart communications and networking, such as …
been improved with the applications of smart communications and networking, such as …
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 …
NOMA-assisted secure offloading for vehicular edge computing networks with asynchronous deep reinforcement learning
Mobile edge computing (MEC) offers promising solutions for various delay-sensitive
vehicular applications by providing high-speed computing services for a large number of …
vehicular applications by providing high-speed computing services for a large number of …
A distributed dependency-aware offloading scheme for vehicular edge computing based on policy gradient
H Liu, H Zhao, L Geng, Y Wang… - 2021 8th IEEE …, 2021 - ieeexplore.ieee.org
The proliferation of smart transportation has significantly promoted explosive growth of the
Internet of Vehicles (IoV). Especially, with the rapid development of the 5-th generation …
Internet of Vehicles (IoV). Especially, with the rapid development of the 5-th generation …
Deep reinforcement learning-based computation offloading in vehicular networks
L Geng, H Zhao, H Liu, Y Wang… - 2021 8th IEEE …, 2021 - ieeexplore.ieee.org
With the rapid development of 5G communications and the Internet of Things (IoT), vehicular
networks have enriched people's lives with abundant applications. Since most of such …
networks have enriched people's lives with abundant applications. Since most of such …
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 …
UAV-assisted privacy-preserving online computation offloading for internet of things
Unmanned aerial vehicle (UAV) plays a more and more important role in Internet of Things
(IoT) for remote sensing and device interconnecting. Due to the limitation of computing …
(IoT) for remote sensing and device interconnecting. Due to the limitation of computing …