Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Swarm-based counter UAV defense system

View through CrossRef
Abstract Unmanned Aerial Vehicles (UAVs) have quickly become one of the promising Internet-of-Things (IoT) devices for smart cities. Thanks to their mobility, agility, and onboard sensors’ customizability, UAVs have already demonstrated immense potential for numerous commercial applications. The UAVs expansion will come at the price of a dense, high-speed and dynamic traffic prone to UAVs going rogue or deployed with malicious intent. Counter UAV systems (C-UAS) are thus required to ensure their operations are safe. Existing C-UAS, which for the majority come from the military domain, lack scalability or induce collateral damages. This paper proposes a C-UAS able to intercept and escort intruders. It relies on an autonomous defense UAV swarm, capable of self-organizing their defense formation and to intercept the malicious UAV. This fully localized and GPS-free approach follows a modular design regarding the defense phases and it uses a newly developed balanced clustering to realize the intercept- and capture-formation. The resulting networked defense UAV swarm is resilient to communication losses. Finally, a prototype UAV simulator has been implemented. Through extensive simulations, we demonstrate the feasibility and performance of our approach.
Title: Swarm-based counter UAV defense system
Description:
Abstract Unmanned Aerial Vehicles (UAVs) have quickly become one of the promising Internet-of-Things (IoT) devices for smart cities.
Thanks to their mobility, agility, and onboard sensors’ customizability, UAVs have already demonstrated immense potential for numerous commercial applications.
The UAVs expansion will come at the price of a dense, high-speed and dynamic traffic prone to UAVs going rogue or deployed with malicious intent.
Counter UAV systems (C-UAS) are thus required to ensure their operations are safe.
Existing C-UAS, which for the majority come from the military domain, lack scalability or induce collateral damages.
This paper proposes a C-UAS able to intercept and escort intruders.
It relies on an autonomous defense UAV swarm, capable of self-organizing their defense formation and to intercept the malicious UAV.
This fully localized and GPS-free approach follows a modular design regarding the defense phases and it uses a newly developed balanced clustering to realize the intercept- and capture-formation.
The resulting networked defense UAV swarm is resilient to communication losses.
Finally, a prototype UAV simulator has been implemented.
Through extensive simulations, we demonstrate the feasibility and performance of our approach.

Related Results

Swarm-based Counter UAV Defense System
Swarm-based Counter UAV Defense System
Abstract Unmanned Aerial Vehicles (UAVs) have quickly become one of the promising Internet-of-Things (IoT) devices for smart cities thanks to their mobility, agility, and o...
Development status of anti UAV swarm and analysis of new defense system
Development status of anti UAV swarm and analysis of new defense system
Abstract UAV swarm is gradually becoming a comprehensive new weapon platform integrating electronic countermeasure, information attack and defense and firepower atta...
Mixed-reality for unmanned aerial vehicle operations in near earth environments
Mixed-reality for unmanned aerial vehicle operations in near earth environments
Future applications will bring unmanned aerial vehicles (UAVs) to near Earth environments such as urban areas, causing a change in the way UAVs are currently operated. Of concern i...
ACOUSTIC FIELD CHARACTERISTICS UAV SCREW
ACOUSTIC FIELD CHARACTERISTICS UAV SCREW
Unmanned aerial vehicles (UAVs) began to be actively used in civil and military spheres. During flight, UAV nodes emit noise into the environment, while the main radiation node is ...
Quantifying corn emergence using UAV imagery and machine learning
Quantifying corn emergence using UAV imagery and machine learning
Corn (Zea mays L.) is one of the important crops in the United States for animal feed, ethanol production, and human consumption. To maximize the final corn yield, one of the criti...
Design of LABVIEW-based UAV Online Monitoring and Security Situation Assessment System
Design of LABVIEW-based UAV Online Monitoring and Security Situation Assessment System
Abstract In this paper, we design a LabVIEW-based UAV online monitoring and safety situation assessment system to address the deficiencies in the monitoring of UAV flight s...
UAV Radar imaging for cultural heritage: a first prototype
UAV Radar imaging for cultural heritage: a first prototype
<p>Nowadays, the use of Unmanned Aircraft Vehicle (UAV) based sensing technologies is widely considered in most disparate fields, including archaeology and cultural h...
Optimization of Multitask Scheduling for Swarm UAV System with Charging Platform
Optimization of Multitask Scheduling for Swarm UAV System with Charging Platform
Swarm UAV technology have potential application in a wide range because of its ability to utilize large number, low cost and unified scheduled UAVs. Unified scheduling is tasks and...

Back to Top