Unmanned aerial vehicles for air pollution monitoring: A survey

NH Motlagh, P Kortoçi, X Su, L Lovén… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

A survey on UAV-enabled edge computing: Resource management perspective

X Xia, SMM Fattah, MA Babar - ACM Computing Surveys, 2023 - dl.acm.org
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

An intrusion detection system for drone swarming utilizing timed probabilistic automata

V Subbarayalu, MA Vensuslaus - Drones, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs), commonly known as drones, have found extensive
applications across diverse sectors, such as agriculture, delivery, surveillance, and military …

Enhancing AIoT device association with task offloading in aerial MEC networks

J Chen, P Yang, S Ren, Z Zhao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for enhancing
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …

Cost optimization in edge computing: a survey

L Cao, T Huo, S Li, X Zhang, Y Chen, G Lin… - Artificial Intelligence …, 2024 - Springer
The edge computing paradigm is becoming increasingly commercialized due to the
widespread adoption of wireless communication technologies and the growing demand for …

Design and implementation of a novel compact laboratory for web-based multiagent system simulation and experimentation

S Ye, GP Liu, W Hu, Z Lei - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
This article introduces an Internet of Things (IoT)-based solution to a multiagent system
(MAS) experimentation with high space utilization and high flexibility. The solution has been …

Online Optimization in UAV-Enabled MEC System: Minimizing Long-Term Energy Consumption Under Adapting to Heterogeneous Demands

Y Zeng, S Chen, J Li, Y Cui, J Du - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) can work as a flying computing platform to supply
computation services to users when the terrestrial infrastructure is insufficient or damaged …

Task offloading and trajectory scheduling for UAV-enabled MEC networks: An MADRL algorithm with prioritized experience replay

H Shi, Y Tian, H Li, J Huang, L Shi, Y Zhou - Ad Hoc Networks, 2024 - Elsevier
As a new network architecture, the air-ground cooperative network is a support for future 6G
network to achieve ubiquitous connectivities. To effectively relieve the computational …

A Multi-Regional Path-Planning Method for Rescue UAVs with Priority Constraints

L Du, Y Fan, M Gui, D Zhao - Drones, 2023 - mdpi.com
This study focuses on the path-planning problem of rescue UAVs with regional detection
priority. Initially, we propose a mixed-integer programming model that integrates coverage …

Service Experience Oriented Cooperative Computing in Cache-Enabled UAVs Assisted MEC Networks

X Gao, L Zhai - IEEE Transactions on Mobile Computing, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV)-enabled multi-access edge computing (MEC)
technology is opening up new opportunities in the integrated space-air-ground in the 5 G …