UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review
Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT
applications. The growing number of networked IoT devices generates a large amount of …
applications. The growing number of networked IoT devices generates a large amount of …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
A survey on edge and edge-cloud computing assisted cyber-physical systems
In recent years, the investigations on cyber-physical systems (CPS) have become
increasingly popular in both academia and industry. A primary obstruction against the …
increasingly popular in both academia and industry. A primary obstruction against the …
Communication-efficient federated learning for digital twin edge networks in industrial IoT
Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of artificial intelligence and 5G paradigm, opens up new possibilities
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …
Multi-objective parallel task offloading and content caching in D2D-aided MEC networks
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …
content caching and D2D links, the edge server and nearby mobile devices can provide task …
Mobility-aware multiobjective task offloading for vehicular edge computing in digital twin environment
B Cao, Z Li, X Liu, Z Lv, H He - IEEE Journal on Selected Areas …, 2023 - ieeexplore.ieee.org
In vehicular edge computing (VEC), vehicle users (VUs) can offload their computation-
intensive tasks to edge server (ES) that provides additional computation resources. Due to …
intensive tasks to edge server (ES) that provides additional computation resources. Due to …
On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems
SS Shinde, A Bozorgchenani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the advent of smart vehicles, several new latency-critical and data-intensive
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
applications are emerged in Vehicular Networks (VNs). Computation offloading has …
Distributed probabilistic offloading in edge computing for 6G-enabled massive Internet of Things
Mobile-edge computing (MEC) is expected to provide reliable and low-latency computation
offloading for massive Internet of Things (IoT) with the next generation networks, such as the …
offloading for massive Internet of Things (IoT) with the next generation networks, such as the …
A review on computational intelligence techniques in cloud and edge computing
Cloud computing (CC) is a centralized computing paradigm that accumulates resources
centrally and provides these resources to users through Internet. Although CC holds a large …
centrally and provides these resources to users through Internet. Although CC holds a large …
Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …
advantages further of a single terrestrial network and provide users with a full range of …