Learning-based resource allocation strategy for industrial IoT in UAV-enabled MEC systems
Forest fire monitoring plays an important role in forest resource protection. Although satellite
remote sensing is an effective way for forest fire monitoring, satellite-based methods can …
remote sensing is an effective way for forest fire monitoring, satellite-based methods can …
AI driven heterogeneous MEC system with UAV assistance for dynamic environment: Challenges and solutions
By taking full advantage of Computing, Communication and Caching (3C) resources at the
network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for …
network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for …
Cooperative UAV resource allocation and task offloading in hierarchical aerial computing systems: A MAPPO-based approach
This article investigates a hierarchical aerial computing system, where both high-altitude
platforms (HAPs) and unmanned aerial vehicles (UAVs) provision computation services for …
platforms (HAPs) and unmanned aerial vehicles (UAVs) provision computation services for …
AoI-energy-aware UAV-assisted data collection for IoT networks: A deep reinforcement learning method
Thanks to the inherent characteristics of flexible mobility and autonomous operation,
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …
The role of UAV-IoT networks in future wildfire detection
OM Bushnaq, A Chaaban… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The challenge of wildfire management and detection is recently gaining increased attention
due to the increased severity and frequency of wildfires worldwide. Popular fire detection …
due to the increased severity and frequency of wildfires worldwide. Popular fire detection …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Joint optimization framework for minimization of device energy consumption in transmission rate constrained UAV-assisted IoT network
Due to their high maneuverability and flexible deployment, unmanned aerial vehicles
(UAVs) could be an alternative option for a scenario where Internet of Things (IoT) devices …
(UAVs) could be an alternative option for a scenario where Internet of Things (IoT) devices …
RL-based user association and resource allocation for multi-UAV enabled MEC
In this paper, multi-unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC),
ie, UAVE is studied, where several UAVs are deployed as flying MEC platform to provide …
ie, UAVE is studied, where several UAVs are deployed as flying MEC platform to provide …
[HTML][HTML] An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …
support of human activities, such as target tracking, disaster rescue, and surveillance …
Learning-based data gathering for information freshness in UAV-assisted IoT networks
Unmanned aerial vehicle (UAV) has been widely deployed in efficient data collection for
Internet of Things (IoT) networks. Information freshness in data collection can be …
Internet of Things (IoT) networks. Information freshness in data collection can be …