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.
Highlights
Unmanned Aerial Vehicles (UAVs) have quickly found their way into the Internet-of-Things (IoT) ecosystem as part of smart cities thanks to their three-dimensional mobility, agility, and onboard sensors’ customizability
Contributions We propose a comprehensive counter-UAV systems (C-UAV) system, which auto-deploys a swarm of autonomous defense UAVs (dUAVs) to create intercept- and capture-formations to tackle intruders
Simulations have been conducted to understand the influence of the parameters on the performance of the C-UAV defense system
Summary
Unmanned Aerial Vehicles (UAVs) have quickly found their way into the Internet-of-Things (IoT) ecosystem as part of smart cities thanks to their three-dimensional mobility, agility, and onboard sensors’ customizability. As governments plan using UAVs to build fresh economic potential for innovation, urban planners are moving forward to incorporate so-called UAV flight zones and UAV highways in their smart city designs [1]. This IoT-UAV infrastructure can be deployed for UAV real-time monitoring for fire detection confirmation [2] and for UAV Air Pollutants Monitoring [3]. Initiatives like NASA UTM [4] or European U-Space [5] aim at providing a framework for a regulated and safe UAV traffic management in the yet unregulated class-G airspace These will not prevent potential intruders, rough drones, or UAVs with malicious intent to enter the shared airspace and potentially harm other UAVs or even citizens
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