Using the Raft algorithm to coordinate interceptor drones in a UAV detection and neutralization system
Year: 2025
Type: article
Abstract: This article explores the use of the Raft consensus algorithm to coordinate interceptor drones in systems designed to detect and neutralize unmanned aerial vehicles (UAVs). The modified Raft algorithm has enabled stable and synchronized drone actions, allowing for autonomous target interception. Modeling and simulation confirmed the system’s fault tolerance and real-time coordination capabilities. In scenarios involving partial communication failures or drone loss, the system has successfully maintained consensus and continued operation. The proposed architecture has used the Rust programming language to ensure memory safety and concurrency management. The results have provided the effectiveness of using Raft in distributed UAV defense systems, while offering advantages such as leader re-election, log replication, and secure communication channels. The paper also discusses cryptographic enhancements and system resilience to potential cyber threats. This research confirms the applicability of the Raft algorithm for UAV interceptor swarms and gives a foundation for further improvements in autonomous defense systems.
Authors: Andrii Nyzhnyk, Andrii Partyka, Michal Podpora
Institutions: Lviv Polytechnic National University, University of Opole
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411230724