Optimization methods applied to motion planning of unmanned aerial vehicles: A review
A Israr, ZA Ali, EH Alkhammash, JJ Jussila - Drones, 2022 - mdpi.com
A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …
Nowadays, these flying robots are capable of flying without human control and make …
UAV ad hoc network routing algorithms in space–air–ground integrated networks: Challenges and directions
Y Lu, W Wen, KK Igorevich, P Ren, H Zhang, Y Duan… - Drones, 2023 - mdpi.com
With the rapid development of 5G and 6G communications in recent years, there has been
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …
Cross-Layer and Energy-Aware AODV routing protocol for flying Ad-hoc networks
In recent years, unmanned aerial vehicles (UAVs) have become the trend for different types
of research and applications. UAVs can accomplish some technical and risky tasks while still …
of research and applications. UAVs can accomplish some technical and risky tasks while still …
Cluster-based routing protocols for flying ad hoc networks (FANETs)
OT Abdulhae, JS Mandeep, M Islam - IEEE access, 2022 - ieeexplore.ieee.org
Flying Ad-Hoc Network (FANET) is a set of Unmanned Aerial Vehicles (UAVs) inter-
connected wirelessly. FANETs self-organize and provide low-cost, adaptable, and simple-to …
connected wirelessly. FANETs self-organize and provide low-cost, adaptable, and simple-to …
Machine learning for smart environments in B5G networks: Connectivity and QoS
SH Alsamhi, FA Almalki, H Al-Dois… - Computational …, 2021 - Wiley Online Library
The number of Internet of Things (IoT) devices to be connected via the Internet is
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …
A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems
Recently, autonomous systems have received considerable attention amongst research
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …
ADD: An automatic desensitization fisheye dataset for autonomous driving
Autonomous driving systems require many images for analyzing the surrounding
environment. However, there is fewer data protection for private information among these …
environment. However, there is fewer data protection for private information among these …
Intelligent energy efficient vehicle automation system with sensible edge processing protocol in Internet of Vehicles using hybrid optimization strategy
J Deepa, SA Ali, S Hemamalini - Wireless Networks, 2023 - Springer
For improving productivity sectors, the Internet of Vehicles (IoV) is designed based on the
interchange between the Internet of Things and automated vehicle schemes in smart cities …
interchange between the Internet of Things and automated vehicle schemes in smart cities …
An improved multi-population whale optimization algorithm
Clustering techniques and metaheuristic algorithms (MA) have demonstrated being efficient
tools in their respective action fields. However, working together is an area marginally …
tools in their respective action fields. However, working together is an area marginally …
[PDF][PDF] Intelligent DoS Attack Detection with Congestion Control Technique for VANETs.
Vehicular Ad hoc Network (VANET) has become an integral part of Intelligent Transportation
Systems (ITS) in today's life. VANET is a network that can be heavily scaled up with a …
Systems (ITS) in today's life. VANET is a network that can be heavily scaled up with a …