[HTML][HTML] NFV/SDN as an Enabler for Dynamic Placement Method of mmWave Embedded UAV Access Base Stations
GK Tran, M Ozasa, J Nakazato - Network, 2022 - mdpi.com
In the event of a major disaster, base stations in the disaster area will cease to function,
making it impossible to obtain life-saving information. Therefore, it is necessary to provide a …
making it impossible to obtain life-saving information. Therefore, it is necessary to provide a …
DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks
In this paper, we propose a novel and adaptive flow rule placement system based on deep
reinforcement learning, namely DeepPlace, in Software-Defined Internet of Things (SDIoT) …
reinforcement learning, namely DeepPlace, in Software-Defined Internet of Things (SDIoT) …
Machine learning methods for uav flocks management-a survey
The development of unmanned aerial vehicles (UAVs) has been gaining momentum in
recent years owing to technological advances and a significant reduction in their cost. UAV …
recent years owing to technological advances and a significant reduction in their cost. UAV …
Self-swarming for multi-robot systems deployed for situational awareness
Abstract Machine-based situational awareness is a key element to conscious and intelligent
interaction with the complex world we live in, be it for the individual unit, a complex …
interaction with the complex world we live in, be it for the individual unit, a complex …
UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuate the foreknowledge of innovative technologies. With the …
emerging concept that effectuate the foreknowledge of innovative technologies. With the …
How to protect key drones in unmanned aerial vehicle networks? An SDN-based topology deception scheme
Unmanned Aerial Vehicle (UAV) networks, consisting of flexible, low-cost as well as easily
deployable UAVs, have attracted intensive research interest recently. Due to different roles …
deployable UAVs, have attracted intensive research interest recently. Due to different roles …
Clustering algorithms for UAV placement in 5G and Beyond Networks
V Kovalenko, A Alzaghir, A Volkov… - … Congress on Ultra …, 2020 - ieeexplore.ieee.org
The subject of the research is the integration of the technologies of unmanned aerial
vehicles network into software-defined networks (SDN) and network virtualization functions …
vehicles network into software-defined networks (SDN) and network virtualization functions …
[HTML][HTML] Joint message-passing and convex optimization framework for energy-efficient surveillance UAV scheduling
In modern surveillance systems, the use of unmanned aerial vehicles (UAVs) has been
actively discussed in order to extend target monitoring areas, even for an extreme …
actively discussed in order to extend target monitoring areas, even for an extreme …
[HTML][HTML] Noise2Weight: On detecting payload weight from drones acoustic emissions
The increasing popularity of autonomous and remotely-piloted drones has paved the way for
several use-cases and application scenarios, including merchandise delivery, surveillance …
several use-cases and application scenarios, including merchandise delivery, surveillance …
Joint trajectory and power optimization for mobile jammer-aided secure UAV relay network
This paper investigates the achievable average secrecy rate for a mobile jammer-aided
secure unmanned aerial vehicle (UAV) relaying system. Specifically, one UAV is deployed …
secure unmanned aerial vehicle (UAV) relaying system. Specifically, one UAV is deployed …