Amateur Drone Monitoring: State-of-the-Art Architectures, Key Enabling Technologies, and Future Research Directions

TL;DR

This paper reviews current architectures and technologies for monitoring amateur drones, highlighting the need for advanced deployment strategies and identifying key research challenges for effective drone detection and tracking.

Contribution

It proposes point-to-point and FANET architectures for monitoring drones and discusses limitations and future research directions in detection, tracking, and communication schemes.

Findings

Deployment of monitoring drones is essential for security.

Existing schemes have limitations in detection and localization.

Future research should address interference and cooperative communication challenges.

Abstract

The unmanned air-vehicle (UAV) or mini-drones equipped with sensors are becoming increasingly popular for various commercial, industrial, and public-safety applications. However, drones with uncontrolled deployment poses challenges for highly security-sensitive areas such as President house, nuclear plants, and commercial areas because they can be used unlawfully. In this article, to cope with security-sensitive challenges, we propose point-to-point and flying ad-hoc network (FANET) architectures to assist the efficient deployment of monitoring drones (MDr). To capture amateur drone (ADr), MDr must have the capability to efficiently and timely detect, track, jam, and hunt the ADr. We discuss the capabilities of the existing detection, tracking, localization, and routing schemes and also present the limitations in these schemes as further research challenges. Moreover, the future challenges related to co-channel interference, channel model design, and cooperative schemes are discussed. Our findings indicate that MDr deployment is necessary for caring of ADr, and intensive research and development is required to fill the gaps in the existing technologies.