Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

[HTML][HTML] QoS-SLA-aware adaptive genetic algorithm for multi-request offloading in integrated edge-cloud computing in Internet of vehicles

H Materwala, L Ismail, HS Hassanein - Vehicular Communications, 2023 - Elsevier
Abstract The Internet of Vehicles over vehicular ad hoc network is an emerging technology
enabling the development of smart applications focused on improving traffic safety, traffic …

DRL‐based intelligent resource allocation for diverse QoS in 5G and toward 6G vehicular networks: a comprehensive survey

HTT Nguyen, MT Nguyen, HT Do… - Wireless …, 2021 - Wiley Online Library
The vehicular network is taking great attention from both academia and industry to enable
the intelligent transportation system (ITS), autonomous driving, and smart cities. The system …

Privacy-aware multiagent deep reinforcement learning for task offloading in vanet

D Wei, J Zhang, M Shojafar, S Kumari… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

A federated deep learning empowered resource management method to optimize 5G and 6G quality of services (QoS)

H Alsulami, SH Serbaya… - Wireless …, 2022 - Wiley Online Library
The quality of service (QoS) in 5G/6G communication enormously depends upon the
mobility and agility of the network architecture. An increase in the possible uses of 5G …

Optimal cross-layer resource allocation in fog computing: A market-based framework

S Li, H Liu, W Li, W Sun - Journal of Network and Computer Applications, 2023 - Elsevier
The potential upsides of fog computing are undeniable, including better near-real-time
response, reduced transmission costs and analysis for IoT, which will further have a …

[HTML][HTML] Resource management in SDN-based cloud and SDN-based fog computing: taxonomy study

A Alomari, SK Subramaniam, N Samian, R Latip… - Symmetry, 2021 - mdpi.com
Software-defined networks (SDN) is an evolution in networking field where the data plane is
separated from the control plane and all the controlling and management tasks are …

Position-based emergency message dissemination schemes in the internet of vehicles: A review

A Ahmed, MM Iqbal, S Jabbar, M Ibrar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In recent years researchers have shown significant interest in vehicular networks to augment
road safety by providing real-time messaging services among vehicles. This work aims to …