Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance

M Kostrzewski, M Marczewska, L Uden - Energies, 2023 - mdpi.com
The Internet of Vehicles (IoV) has generated great interest among researchers from different
disciplines as it is multidisciplinary research. Sustainability for the IoV requires solutions …

[PDF][PDF] Task offloading and resource allocation in iot based mobile edge computing using deep learning

I Abdullaev, N Prodanova, KA Bhaskar… - … Materials & Continua, 2023 - cdn.techscience.cn
Recently, computation offloading has become an effective method for overcoming the
constraint of a mobile device (MD) using computationintensive mobile and offloading delay …

Energy-efficient resource allocation for heterogeneous edge-cloud computing

W Hua, P Liu, L Huang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, billions of mobile devices
(MDs) are putting a massive burden on limited radio resources. Mobile-edge computing …

Reinforcement Learning for Optimizing Delay-Sensitive Task Offloading in Vehicular Edge-Cloud Computing

TH Binh, H Vo, BM Nguyen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the appearance of more and more devices connected to the Internet, the world has
witnessed an ever-growing number of data to be processed. Among those, many tasks …

A new fuzzy-based method for energy-aware resource allocation in vehicular cloud computing using a nature-inspired algorithm

C Li, X Zuo, AS Mohammed - Sustainable Computing: Informatics and …, 2022 - Elsevier
Vehicular cloud computing is a hopeful solution to utilize underused vehicle resources such
as processing energy, storage space, Internet connection, etc. These resources can be …

[HTML][HTML] Interval grey number of energy consumption helps task offloading in the mobile environment

Y Hao, Q Wang, J Cao, T Ma, J Du, X Zhang - ICT Express, 2023 - Elsevier
The mobile device has been widely used in many areas. Task offloading is always used to
overcome the limitation of processing ability and energy-supply of the mobile devices in the …

Slicing-Based Task Offloading in Space-Air-Ground Integrated Vehicular Networks

H Shen, Y Tian, T Wang, G Bai - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
A slicing-based collaborative task offloading framework for space-air-ground integrated
vehicular networks is proposed in this study, which can provide differentiated quality-of …

A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach

G Liu, F Dai, B Huang, Z Qiang, S Wang, L Li - Journal of Cloud …, 2022 - Springer
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …

R-GCN: A residual-gated recurrent unit convolution network model for anomaly detection in blockchain transactions

R Rajmohan, TA Kumar, SG Sandhya… - Multimedia Tools and …, 2024 - Springer
The domain of deep learning has provided an exemplary paradigm for how Artificial
Intelligence (AI) can be a disruptive technological paragon through Blockchain Technology …