A taxonomy and survey of edge cloud computing for intelligent transportation systems and connected vehicles
Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS)
are based upon the capture and processing of large amounts of sensor data. Modern …
are based upon the capture and processing of large amounts of sensor data. Modern …
[HTML][HTML] Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications
Recently, interest in Internet of Vehicles'(IoV) technologies has significantly emerged due to
the substantial development in the smart automobile industries. Internet of Vehicles' …
the substantial development in the smart automobile industries. Internet of Vehicles' …
Artificial intelligence for edge service optimization in internet of vehicles: A survey
X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …
its powerful capability of collecting real-time information. Generally, collected information is …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …
A distributed deep reinforcement learning technique for application placement in edge and fog computing environments
M Goudarzi, M Palaniswami… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fog/Edge computing is a novel computing paradigm supporting resource-constrained
Internet of Things (IoT) devices by placement of their tasks on edge and/or cloud servers …
Internet of Things (IoT) devices by placement of their tasks on edge and/or cloud servers …
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
Distributed computation offloading method based on deep reinforcement learning in ICV
With the rapid development of Intelligent Connected Vehicles (ICVs), more effective
computation resources optimization schemes in task scheduling are exactly required for …
computation resources optimization schemes in task scheduling are exactly required for …
Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach
F Jazayeri, A Shahidinejad… - Journal of Ambient …, 2021 - Springer
Abstract The Fog Computing (FC) paradigm is rapidly becoming an appropriate framework
for the infrastructure related to the Internet of Things (IoT). FC can be a good framework for …
for the infrastructure related to the Internet of Things (IoT). FC can be a good framework for …
Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm
With the combination of Mobile Edge Computing (MEC) and the next generation cellular
networks, computation requests from end devices can be offloaded promptly and accurately …
networks, computation requests from end devices can be offloaded promptly and accurately …