[HTML][HTML] A comprehensive survey on data aggregation techniques in UAV-enabled Internet of things

AM Raivi, S Moh - Computer Science Review, 2023 - Elsevier
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 …

A novel fuzzy trust-based secure routing scheme in flying ad hoc networks

M Hosseinzadeh, AH Mohammed, FA Alenizi… - Vehicular …, 2023 - Elsevier
Today, many studies assess vulnerabilities, threats, and attacks in flying ad hoc networks
(FANETs) to provide solutions for countermeasures. Protecting FANETs against attackers …

Secure UAV (Drone) and the Great Promise of AI

B Zolfaghari, M Abbasmollaei, F Hajizadeh… - ACM Computing …, 2024 - dl.acm.org
UAVs have found their applications in numerous applications from recreational activities to
business in addition to military and strategic fields. However, research on UAVs is not going …

A lightweight reinforcement learning-based real-time path planning method for unmanned aerial vehicles

M Xi, H Dai, J He, W Li, J Wen, S Xiao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicles (UAVs) are competent to perform a variety of applications,
possessing great potential and promise. The deep neural networks (DNN) technology has …

[HTML][HTML] A novel Q-learning-based routing scheme using an intelligent filtering algorithm for flying ad hoc networks (FANETs)

M Hosseinzadeh, S Ali, L Ionescu-Feleaga… - Journal of King Saud …, 2023 - Elsevier
The flying ad hoc network (FANET) is an emerging network focused on unmanned aerial
vehicles (UAVs) that has attracted the attention of researchers around the world. Due to the …

[HTML][HTML] A Q-learning-based smart clustering routing method in flying Ad Hoc networks

M Hosseinzadeh, J Tanveer, AM Rahmani… - Journal of King Saud …, 2024 - Elsevier
Flying ad hoc networks (FANETs) have particular importance in various military and civilian
applications due to their specific features, including frequent topological changes, the …

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 …

Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks

Y Wang, J Farooq - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The advent of fifth generation 5G networks has opened new avenues for enhancing
connectivity, particularly in challenging environments, such as remote areas or disaster …

ADFPA–A Deep Reinforcement Learning-based Flow Priority Allocation Scheme for Throughput Optimization in FANETs

WJ Lau, JMY Lim, CY Chong, NS Ho… - Vehicular Communications, 2023 - Elsevier
Flying ad hoc networks (FANETs) are easy to deploy and cost-efficient, however they are
limited by the static protocols used in 802.11 and CSMA-based networks to support high …

UAV-Based Delivery Systems: a Systematic Review, Current Trends, and Research Challenges

F Betti Sorbelli - Journal on Autonomous Transportation Systems, 2024 - dl.acm.org
The rising popularity of drones significantly impacts package delivery services, offering both
unique opportunities and challenges. This survey explores the diverse applications of …