Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
In recent years, unmanned aerial vehicles (UAVs) have attracted increased attention from
academic and industrial research communities, owing to their wide range of potential …
academic and industrial research communities, owing to their wide range of potential …
[HTML][HTML] A comprehensive survey on data aggregation techniques in UAV-enabled Internet of things
In recent years, unmanned aerial vehicles (UAVs) have been used to extend the Internet of
things (IoT) framework owing to their vast applications, monitoring and surveillance …
things (IoT) framework owing to their vast applications, monitoring and surveillance …
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
A task-driven sequential overlapping coalition formation game for resource allocation in heterogeneous UAV networks
A heterogeneous unmanned aerial vehicle (UAV) network where UAVs carrying different
resources form coalition and cooperatively carry out tasks is of crucial importance for …
resources form coalition and cooperatively carry out tasks is of crucial importance for …
Traffic flow optimization for UAVs in multi-layer information-centric software-defined FANET
Unmanned Aerial Vehicles (UAVs) have received significant research interest from
academia due to their on-demand content distribution capabilities using mobile edge …
academia due to their on-demand content distribution capabilities using mobile edge …
Reinforcement learning based topology control for UAV networks
T Yoo, S Lee, K Yoo, H Kim - Sensors, 2023 - mdpi.com
The recent development of unmanned aerial vehicle (UAV) technology has shown the
possibility of using UAVs in many research and industrial fields. One of them is for UAVs …
possibility of using UAVs in many research and industrial fields. One of them is for UAVs …
BMUDF: Hybrid Bio-inspired Model for fault-aware UAV routing using Destination-aware Fan shaped clustering
Routing data between unmanned aerial vehicles (UAVs) involves identifying node locations,
analyzing residual energy levels, evaluating temporal throughput and packet delivery …
analyzing residual energy levels, evaluating temporal throughput and packet delivery …
Energy-Efficient Scheduling in UAV-Assisted Hierarchical Wireless Sensor Networks
R Lai, B Zhang, G Gong, H Yuan, J Yang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In emerging applications of the Internet of Things, wireless sensor networks (WSNs) are
often utilized to gather, track, and monitor data in remote areas with limited communication …
often utilized to gather, track, and monitor data in remote areas with limited communication …
Intelligent drones trajectory generation for mapping weed infested regions over 6G networks
G Raja, ND Philips, RK Ramasamy… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), in conjunction with 6G, are a potential tool for monitoring
agricultural lands and various agricultural applications. There have been several trajectory …
agricultural lands and various agricultural applications. There have been several trajectory …
[Retracted] A Neighborhood and Machine Learning‐Enabled Information Fusion Approach for the WSNs and Internet of Medical Things
Data redundancy or fusion is one of the common issues associated with the resource‐
constrained networks such as Wireless Sensor Networks (WSNs) and Internet of Things …
constrained networks such as Wireless Sensor Networks (WSNs) and Internet of Things …