Wireless powered mobile edge computing networks: A survey
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …
Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …
computational power and storage capacity provided by cloud, edge, and fog computing …
Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT
With the rapid development and convergence of the mobile Internet and the Internet of
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Resource allocation in 5G IoV architecture based on SDN and fog-cloud computing
B Cao, Z Sun, J Zhang, Y Gu - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee
the low latency requirements of the current intelligent transportation system (ITS). As a …
the low latency requirements of the current intelligent transportation system (ITS). As a …
A survey on computation offloading modeling for edge computing
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …
storage facilities toward the edge of a network. This new computing paradigm opens up new …
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 …
[HTML][HTML] An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks
S Bebortta, SS Tripathy, UM Modibbo, I Ali - Decision Analytics Journal, 2023 - Elsevier
Executing complex and time-sensitive operations has become difficult due to the increased
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …
AI-enhanced offloading in edge computing: When machine learning meets industrial IoT
W Sun, J Liu, Y Yue - IEEE Network, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent industrial operations by
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
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 …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …