Constrained multi-objective optimization for UAV-enabled mobile edge computing: Offloading optimization and path planning
An unmanned aerial vehicle (UAV) is employed to sequentially visit the specific waypoints
and provide offloading services for nearby devices. Most of the current works optimized the …
and provide offloading services for nearby devices. Most of the current works optimized the …
Computation offloading and resource allocation in unmanned aerial vehicle networks
Deploying unmanned aerial vehicles (UAVs) as mobile edge computing (MEC) servers has
been attracting significant attention, since the UAVs' inherent maneuverability and mobility …
been attracting significant attention, since the UAVs' inherent maneuverability and mobility …
AoI-aware Sensing Scheduling and Trajectory Optimization for Multi-UAV-assisted Wireless Backscatter Networks
This paper considers multiple unmanned aerial vehicles (UAVs) to assist sensing data
transmissions from the ground users (GUs) to a remote base station (BS). Each UAV collects …
transmissions from the ground users (GUs) to a remote base station (BS). Each UAV collects …
DP-Authentication: A novel deep learning based drone pilot authentication scheme
Abstract Unmanned Aerial Vehicles (UAVs), also known as drones, have recently been
proposed as flying base stations for providing reliable service to IoT devices. However, due …
proposed as flying base stations for providing reliable service to IoT devices. However, due …
Joint distributed beamforming and backscattering for UAV-assisted WPSNs
This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered sensor
network (WPSN), where sensor nodes of multiple types can simultaneously harvest radio …
network (WPSN), where sensor nodes of multiple types can simultaneously harvest radio …
Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks
This article investigates vehicular cloud (VC)-assisted task scheduling in an air-ground
integrated vehicular network (AGVN), where tasks carried by unmanned aerial vehicles …
integrated vehicular network (AGVN), where tasks carried by unmanned aerial vehicles …
Deep residual learning-based cognitive model for detection and classification of transmitted signal patterns in 5G smart city networks
Primary user (PU) signal detection or classification is a critical component of cognitive radio
(CR) related wireless communication applications. In CR, the PU detection methods are …
(CR) related wireless communication applications. In CR, the PU detection methods are …
Over-the-air computation strategy using space–time line code for data collection by multiple unmanned aerial vehicles
In this study, we investigated a data collection system for multiple unmanned aerial vehicles
(UAVs) in the sky. To reduce the required data collection time for a time-division multiple …
(UAVs) in the sky. To reduce the required data collection time for a time-division multiple …
Novel secure data transmission methods for IoT based on STP-CS with multilevel critical information concealment function
W Wu, H Peng, F Tong, L Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is a large-scale network of various sensing devices connected
via the Internet to achieve intelligent functions. Efficient secure data transmission is a …
via the Internet to achieve intelligent functions. Efficient secure data transmission is a …
[HTML][HTML] Convolutional neural network-based transmit antenna selection for UAV-ground station communications with time-varying channels
This study proposes a novel transmit antenna selection (TAS) method for improving
communications between the unmanned aerial vehicle (UAV) and ground station (GS). By …
communications between the unmanned aerial vehicle (UAV) and ground station (GS). By …