Adversarial Swarm Defence Using Multiple Fixed-Wing Unmanned Aerial Vehicles

Abstract

This paper proposes a novel coverage-based adversarial swarm defence algorithm. The defender swarm composed of fixed-wing unmanned aerial vehicles (UAVs) is assumed to have explosives onboard to intercept an adversarial swarm. The proposed approach consists of two steps: i) impact point optimization and ii) model predictive control (MPC)-based impact time control. The impact point optimization periodically optimizes impact points for the corresponding UAVs to maximize the coverage within the hostile swarm while minimizing the common impact time. The optimization domain is limited to a physically reachable area of UAVs with the common impact time. Besides, the MPC-based impact time controller is designed to ensure the multiple UAVs to arrive the generated time-varying impact points simultaneously. Numerical simulations are performed to prove the feasibility and efficiency of the proposed swarm defence algorithm.

Meta-heuristic Algorithms in UAV Path Planning Optimization: A Systematic Review (2018–2022)

“…Meta-Heuristic-Type [77] Parallel cooperative co-evolutionary grey wolf optimizer for path planning problem of unmanned aerial vehicles PCCGWO Hybrid [78] An accurate UAV 3-D path planning method for disaster emergency response based on an improved multi-objective swarm intelligence algorithm APPMS Swarm-based algorithm [5] UAV based spatiotemporal analysis of the 2019-2020 new South Wales bushfires PSO Swarm-based algorithm [79] Opposite and chaos searching genetic algorithm based for UAV path planning OCGA Hybrid [80] Multi-Verse algorithm based approach for multi-criteria path planning of unmanned aerial vehicles MOMVO Physics-based algorithm [81] Drone delivery multi-agent routing optimization SA Physics-based algorithm [82] Design and implementation of distributed path planning algorithm for a fleet of UAVs PSO Swarm-based algorithm [83] Adversarial swarm defence using multiple fixed-wing unmanned aerial vehicles…”

Group Secret Key Generation Using Physical Layer Security for UAV Swarm Communications

“…Of particular interest is the case of multiple UAVs working collectively to accomplish a mission objective. Widely referred to as UAV swarms, this group of UAVs can find their applicability in a variety of use cases that a single UAV cannot accomplish [4]. However, UAV swarm communications are vulnerable to various security attacks due to their distributed and cooperative nature.…”