[PDF][PDF] Energy-aware UAV Path Planning with Adaptive Speed
Unmanned Aerial Vehicles (UAVs) can easily move over rough terrain and water, are low-
cost, commercially available, and can be deployed quickly. This makes them well suited for …
cost, commercially available, and can be deployed quickly. This makes them well suited for …
Game Theory–Based Parameter Tuning for Energy-Efficient Path Planning on Modern UAVs
D Moolchandani, K Yadav, G Kulathunga… - ACM Transactions on …, 2022 - dl.acm.org
Present-day path planning algorithms for UAVs rely on various parameters that need to be
tuned at runtime to be able to plan the best possible route. For example, for a sampling …
tuned at runtime to be able to plan the best possible route. For example, for a sampling …
Reinforcement learning for energy-efficient trajectory design of UAVs
Integrating unmanned aerial vehicles (UAVs) as aerial base stations (BSs) into terrestrial
cellular networks has emerged as an effective solution to provide coverage and complement …
cellular networks has emerged as an effective solution to provide coverage and complement …
3D Real-Time Energy Efficient Path Planning for a Fleet of Fixed-Wing UAVs
G Aiello, KP Valavanis, A Rizzo - … International Conference on …, 2021 - ieeexplore.ieee.org
UAV path planning requires finding an optimal (or sub-optimal) collision free path in a
cluttered environment, while taking into account geometric, physical and temporal …
cluttered environment, while taking into account geometric, physical and temporal …
Uav trajectory planning from a comprehensive energy efficiency perspective in harsh environments
B Li, Z Na, B Lin - IEEE Network, 2022 - ieeexplore.ieee.org
As a highly promising application paradigm, unmanned aerial vehicles (UAVs) in wireless
communications have gained widespread attention by virtue of their advantages, such as …
communications have gained widespread attention by virtue of their advantages, such as …
Efficient uav trajectory-planning using economic reinforcement learning
Advances in unmanned aerial vehicle (UAV) design have opened up applications as varied
as surveillance, firefighting, cellular networks, and delivery applications. Additionally, due to …
as surveillance, firefighting, cellular networks, and delivery applications. Additionally, due to …
Learning-based UAV trajectory optimization with collision avoidance and connectivity constraints
Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks,
and determining collision-free trajectories for multiple UAVs while satisfying requirements of …
and determining collision-free trajectories for multiple UAVs while satisfying requirements of …
Energy-efficient UAV Trajectory Planning Based On Flexible Data Rate
This paper considers planning a UAV trajectory when the UAV collects data for ground
access points (APs), aiming to minimize the overall UAV power consumption in executing …
access points (APs), aiming to minimize the overall UAV power consumption in executing …
The optimal trajectory planning for UAV in UAV-aided networks
Q Wang, X Chang - Cloud Computing and Security: Second International …, 2016 - Springer
Abstract Wireless Sensor Networks (WSNs) have been increasingly deployed in harsh
environments for special applications such as ecological monitoring and Volcano …
environments for special applications such as ecological monitoring and Volcano …
Replanner: Efficient uav trajectory-planning using economic reinforcement learning
Advances in the unmanned aerial vehicle (UAV) design and capability, as well as decreases
in the manufacturing cost, have opened up applications of UAVs in various fields, including …
in the manufacturing cost, have opened up applications of UAVs in various fields, including …