Delay-sensitive energy-efficient UAV crowdsensing by deep reinforcement learning
Mobile crowdsensing (MCS) by unmanned aerial vehicles (UAVs) servicing delay-sensitive
applications becomes popular by navigating a group of UAVs to take advantage of their …
applications becomes popular by navigating a group of UAVs to take advantage of their …
High-performance UAV crowdsensing: A deep reinforcement learning approach
Path planning is critical to realizing a high-performance unmanned aerial vehicle (UAV)
crowdsensing system, which can be deployed to carry out large-scale tasks in the physical …
crowdsensing system, which can be deployed to carry out large-scale tasks in the physical …
Cooperative data sensing and computation offloading in UAV-assisted crowdsensing with multi-agent deep reinforcement learning
T Cai, Z Yang, Y Chen, W Chen… - … on Network Science …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be leveragedin mobile crowdsensing (MCS) to
conduct sensing tasks at remote or rural areas through computation offloading and data …
conduct sensing tasks at remote or rural areas through computation offloading and data …
Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer
Unmanned aerial vehicle (UAV) crowdsensing (UCS) is an emerging data collection
paradigm to provide reliable and high quality urban sensing services, with age-of …
paradigm to provide reliable and high quality urban sensing services, with age-of …
Energy-efficient UAV crowdsensing with multiple charging stations by deep learning
Different from using human-centric mobile devices like smartphones, unmanned aerial
vehicles (UAVs) can be utilized to form a new UAV crowdsensing paradigm, where UAVs …
vehicles (UAVs) can be utilized to form a new UAV crowdsensing paradigm, where UAVs …
Distributed and energy-efficient mobile crowdsensing with charging stations by deep reinforcement learning
Mobile crowdsensing (MCS) represents a new sensing paradigm that utilizes the smart
mobile devices to collect and share data. Traditional MCS systems mainly leverages the …
mobile devices to collect and share data. Traditional MCS systems mainly leverages the …
Energy-efficient mobile crowdsensing by unmanned vehicles: A sequential deep reinforcement learning approach
Mobile crowdsensing (MCS) is an attractive and innovative paradigm in which a crowd of
users equipped with smart mobile devices (such as smartphones and iPads), and more …
users equipped with smart mobile devices (such as smartphones and iPads), and more …
Multi-task-oriented vehicular crowdsensing: A deep learning approach
With the popularity of drones and driverless cars, vehicular crowdsensing (VCS) becomes
increasingly widely-used by taking advantage of their high-precision sensors and durability …
increasingly widely-used by taking advantage of their high-precision sensors and durability …
Energy-Efficient 3-D Data Collection forMulti-UAV Assisted Mobile Crowdsensing
Mobile CrowdSensing (MCS) is an emerging paradigm that employs massive mobile
devices (MDs) to complete sensing tasks cooperatively. To provide ubiquitous MCS …
devices (MDs) to complete sensing tasks cooperatively. To provide ubiquitous MCS …
Energy-efficient distributed mobile crowd sensing: A deep learning approach
High-quality data collection is crucial for mobile crowd sensing (MCS) with various
applications like smart cities and emergency rescues, where various unmanned mobile …
applications like smart cities and emergency rescues, where various unmanned mobile …