Aerial computing: A new computing paradigm, applications, and challenges

QV Pham, R Ruby, F Fang, DC Nguyen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …

Deep reinforcement learning-based joint task and energy offloading in UAV-aided 6G intelligent edge networks

Z Cheng, M Liwang, N Chen, L Huang, X Du… - Computer …, 2022 - Elsevier
Edge networks are expected to play an important role in 6G where machine learning-based
methods are widely applied, which promote the concept of Edge Intelligence. Meanwhile …

Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

An edge-computing framework for operational modal analysis of offshore wind-turbine tower

P Zhang, Z He, C Cui, C Xu, L Ren - Ocean Engineering, 2023 - Elsevier
With massive construction of offshore wind turbines (OWT), structural health monitoring
(SHM) techniques have been applied to estimate the working conditions and provide early …

Optimal allocation and route design for station-based drone inspection of large-scale facilities

L Cai, J Li, K Wang, Z Luo, H Qin - Omega, 2025 - Elsevier
The utilization of drones to conduct inspections on industrial electricity facilities, including
large-sized wind turbines and power transmission towers, has recently received significant …

Joint optimization of AoI, SINR, completeness, and energy in UAV-aided SDCNs: Coalition formation game and cooperative order

Y Yang, X Wei, R Xu, L Peng - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most important representatives for the edge intelligence, Unmanned Aerial
Vehicle (UAV) can be used to provide the intelligent edge service, such as performing data …

A survey on edge intelligence and lightweight machine learning support for future applications and services

K Hoffpauir, J Simmons, N Schmidt, R Pittala… - ACM Journal of Data …, 2023 - dl.acm.org
As the number of devices connected to the Internet has grown larger, so too has the intensity
of the tasks that these devices need to perform. Modern networks are more frequently …

Investigating the dependability of software-defined IIoT-Edge networks for next-generation offshore wind farms

A Mwangi, N Kabbara, P Coudray… - … on Network and …, 2024 - ieeexplore.ieee.org
Next-generation offshore wind farms are increasingly adopting vendor-agnostic software-
defined networking (SDN) to oversee their Industrial Internet of Things Edge (IIoT-Edge) …

Multi UAV Inspection Optimization for Offshore Wind Farms Considering Battery Exchange Process

T Fan, L Fu, C Guo, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have become a highly effective tool for inspecting
Offshore Wind Farms (OWFs) due to their controllability, speed, and safety. A practical route …

Computer Vision-Based Path Planning with Indoor Low-Cost Autonomous Drones: An Educational Surrogate Project for Autonomous Wind Farm Navigation

AA Rodriguez, M Shekaramiz, MAS Masoum - Drones, 2024 - mdpi.com
The application of computer vision in conjunction with GPS is essential for autonomous wind
turbine inspection, particularly when the drone navigates through a wind farm to detect the …