Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Scalable and cooperative deep reinforcement learning approaches for multi-UAV systems: A systematic review
In recent years, the use of multiple unmanned aerial vehicles (UAVs) in various applications
has progressively increased thanks to advancements in multi-agent system technology …
has progressively increased thanks to advancements in multi-agent system technology …
Multi-USV task planning method based on improved deep reinforcement learning
J Zhang, J Ren, Y Cui, D Fu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
A safe and reliable task planning method is a prerequisite for the collaborative execution of
ocean observation data collection tasks by multiple unmanned surface vessels (multi-USVs) …
ocean observation data collection tasks by multiple unmanned surface vessels (multi-USVs) …
Energy efficient task offloading and resource allocation in air-ground integrated mec systems: A distributed online approach
In many remote areas lacking ground communication infrastructure support, such as
wilderness, desert, ocean, etc., an integrated edge computing network in the air with edge …
wilderness, desert, ocean, etc., an integrated edge computing network in the air with edge …
Sustainable and low-AoI cooperative data acquisition in UAV-aided sensor networks
X Fu, M Ren - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Sustainable and low-latency data transmission is a major challenge in sparsely deployed
sensor network scenarios. To overcome this challenge, we investigate unmanned aerial …
sensor network scenarios. To overcome this challenge, we investigate unmanned aerial …
Joint optimization of data acquisition and trajectory planning for uav-assisted wireless powered internet of things
The development of Internet of Things (IoT) technology has led to the emergence of a large
number of Intelligent Sensing Devices (ISDs). Since their limited physical sizes constrain the …
number of Intelligent Sensing Devices (ISDs). Since their limited physical sizes constrain the …
Decentralized navigation with heterogeneous federated reinforcement learning for UAV-enabled mobile edge computing
P Wang, H Yang, G Han, R Yu, L Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing has been proposed as an
efficient task-offloading solution for user equipments (UEs). Nevertheless, the presence of …
efficient task-offloading solution for user equipments (UEs). Nevertheless, the presence of …
Multi-Task Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing
Due to the swift advancement of edge computing and mobile crowdsensing (MCS), edge-
assisted MCS (EAMCS) has emerged as a promising paradigm, leveraging sensor …
assisted MCS (EAMCS) has emerged as a promising paradigm, leveraging sensor …
Basic: Distributed task assignment with auction incentive in uav-enabled crowdsensing system
With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to
collect sensing data from the surrounding environment has become a practice. Notably …
collect sensing data from the surrounding environment has become a practice. Notably …
Towards robust task assignment in mobile crowdsensing systems
Mobile Crowdsensing (MCS), which assigns outsourced sensing tasks to volunteer workers,
has become an appealing paradigm to collaboratively collect data from surrounding …
has become an appealing paradigm to collaboratively collect data from surrounding …