DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network
Using highly maneuverable Unmanned Aerial Vehicles (UAV) to collect data is a fast and
efficient method that is widely studied. In most studies, they assume that the UAVs can …
efficient method that is widely studied. In most studies, they assume that the UAVs can …
Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT
X Zhu, L Wang, Y Li, S Song, S Ma, F Yang… - Vehicular …, 2022 - Elsevier
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) can effectively alleviate the
problems of unstable links and low transmission efficiency, which have been applied for …
problems of unstable links and low transmission efficiency, which have been applied for …
3D UAV trajectory and data collection optimisation via deep reinforcement learning
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the
network performance and coverage in wireless communication. However, due to the …
network performance and coverage in wireless communication. However, due to the …
Energy-AOI-Aware UAV-Assisted Data Collection: A Multi-Agent Deep Reinforcement Learning-Based Trajectory Optimization
With the development of Internet of Things (IoT) technology, sensor networks are widely
used for data collection in various IoT scenarios. Traditional sensors use multi-hop …
used for data collection in various IoT scenarios. Traditional sensors use multi-hop …
Energy-efficient data collection for IoT networks via cooperative multi-hop UAV networks
In this paper, we study the network of unmanned aerial vehicles (UAVs) which acts as a
relay between a base station, and remotely deployed Internet of Things devices. UAVs have …
relay between a base station, and remotely deployed Internet of Things devices. UAVs have …
Collaborative relay for achieving long-term and low-AoI data collection in UAV-aided IoT systems
X Fu, X Huang, Q Pan - Vehicular Communications, 2024 - Elsevier
Abstract In Internet of Things (IoT) systems, sensor nodes are frequently placed in remote
and unattended locations to monitor environmental data. One significant challenge is …
and unattended locations to monitor environmental data. One significant challenge is …
Trajectory design for UAV-based Internet of Things data collection: A deep reinforcement learning approach
In this article, we investigate an unmanned aerial vehicle (UAV)-assisted Internet of Things
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
DRL-Based UAV Trajectory Planning for AoS and Energy Consumption Minimization Assisted by AoI
Y Liu, J Gong - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
In edge Internet of Things (IoT) scenarios, it is important to maintain the freshness of
information. The information freshness can be measured by Age of Information (AoI) and …
information. The information freshness can be measured by Age of Information (AoI) and …
Multi-objective Optimization for Data Collection in UAV-assisted Agricultural IoT
The ground fixed base stations (BSs) are often deployed inflexibly, and have high
overheads, as well as are susceptible to the damage from natural disasters, making it …
overheads, as well as are susceptible to the damage from natural disasters, making it …
Energy-efficient resource management in UAV-assisted mobile edge computing
Unmanned aerial vehicles (UAVs) have been deployed to enhance the network capacity
and provide services to mobile users with or without infrastructure coverage. At the same …
and provide services to mobile users with or without infrastructure coverage. At the same …