Dynamic adaptation of contention window boundaries using deep Q networks in UAV swarms
In flying ad hoc networks (FANET), medium access layer (MAC) protocols play an essential
role in ensuring better network performance. The effective utilization of network resources …
role in ensuring better network performance. The effective utilization of network resources …
Secure and Energy-Efficient Communication for Internet of Drones Networks: A Deep Reinforcement Learning Approach
N Aboueleneen, A Alwarafy… - … and Mobile Computing …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD)-aided wireless networks are proving their efficiency in various
commercial and military applications, such as object recognition, surveillance, and data …
commercial and military applications, such as object recognition, surveillance, and data …
Graph Attention-based Reinforcement Learning for Trajectory Design and Resource Assignment in Multi-UAV Assisted Communication
In the multiple unmanned aerial vehicle (UAV)-assisted downlink communication, it is
challenging for UAV base stations (UAV BSs) to realize trajectory design and resource …
challenging for UAV base stations (UAV BSs) to realize trajectory design and resource …
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 …
Deep Reinforcement Learning for AoI Minimization in UAV-aided Data Collection for WSN and IoT: a Survey
Abstract Deep Reinforcement Learning (DRL) has emerged as a promising technique for
optimizing the deployment of Unmanned Aerial Vehicles (UAVs) for data collection in …
optimizing the deployment of Unmanned Aerial Vehicles (UAVs) for data collection in …
Soft Computing based Implementation of Autonomous Drone Vehicle using Fuzzy Logic based Control Systems
S Mishra, S Punitha, T Harikrishns… - 2023 Second …, 2023 - ieeexplore.ieee.org
In recent years, there has been a lot of interest in the use of fuzzy logic-based control
systems to construct autonomous drone vehicles. This method makes use of fuzzy logic's …
systems to construct autonomous drone vehicles. This method makes use of fuzzy logic's …