LSTM-characterized deep reinforcement learning for continuous flight control and resource allocation in UAV-assisted sensor network
Unmanned aerial vehicles (UAVs) can be employed to collect sensory data in remote
wireless sensor networks (WSNs). Due to UAV's maneuvering, scheduling a sensor device …
wireless sensor networks (WSNs). Due to UAV's maneuvering, scheduling a sensor device …
Onboard deep deterministic policy gradients for online flight resource allocation of UAVs
In Unmanned Aerial Vehicle (UAV) enabled data collection, scheduling data transmissions
of the ground nodes while controlling flight of the UAV, eg, heading and velocity, is critical to …
of the ground nodes while controlling flight of the UAV, eg, heading and velocity, is critical to …
Deep reinforcement learning for real-time trajectory planning in UAV networks
In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …
Delay performance of priority-queue equipped UAV-based mobile relay networks: Exploring the impact of trajectories
UAV-based mobile relay communication systems have an important position in future
wireless networks, such as Beyond 5G and 6G, which provide ubiquitous network services …
wireless networks, such as Beyond 5G and 6G, which provide ubiquitous network services …
Deep Q-networks for aerial data collection in multi-UAV-assisted wireless sensor networks
Unmanned Aerial Vehicles (UAVs) can collaborate to collect and relay data for ground
sensors in remote and hostile areas. In multi-UAV-assisted wireless sensor networks (MA …
sensors in remote and hostile areas. In multi-UAV-assisted wireless sensor networks (MA …
Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks
Y Emami - arxiv preprint arxiv:2312.09953, 2023 - arxiv.org
Unmanned aerial vehicle (UAV)-assisted sensor networks (UASNets), which play a crucial
role in creating new opportunities, are experiencing significant growth in civil applications …
role in creating new opportunities, are experiencing significant growth in civil applications …
An Exact Approach for Solving Pickup-and-Delivery Traveling Salesman Problems with Neighborhoods
This paper studies a variant of the traveling salesman problem, called the pickup-and-
delivery traveling salesman problem with neighborhoods, that combines traditional pickup …
delivery traveling salesman problem with neighborhoods, that combines traditional pickup …
Delay performance of UAV-based buffer-aided relay networks under bursty traffic: Mobile or static?
Being a beneficial service in emergency situations, UAV-aided relay communications have
received tremendous attentions in the recent years. In this paper, we consider a three-node …
received tremendous attentions in the recent years. In this paper, we consider a three-node …
Reliability and QoS Aware Intelligent UAV Communication with Throughput Maximization in Wireless Networks
To perform effective traditional terrestrial communication among the wireless networks,
Unmanned Ariel Networks (UAVs) are created which provides the way to perform next …
Unmanned Ariel Networks (UAVs) are created which provides the way to perform next …
Deep learning for UAV network optimization
Deep learning (DL)-enabled UAV networking can achieve more sufficient networking
services from inter-and intra-networking which can provide UAV networking with greater …
services from inter-and intra-networking which can provide UAV networking with greater …