Modeling of strike drone missions for conducting wave attacks in conditions of enemy anti-drone actions

The actual problem of studying military logistics actions to form missions of a swarm of attack drones for conducting massive attacks on enemy targets is formed and solved. The research is aimed at planning military attacks with drones to provide for establishing military parity of forces in a military conflict zone. Therefore, the actual topic of the proposed publication, which explores the sequence of military logistics actions for planning and implementing wave attacks to inflict maximum damage on the enemy, is relevant. The goal of this publication is to create a set of mathematical, simulation and agent-based models that can be used to study and plan attack missions by waves of swarms of attack drones. This article analyzes the existing problems of using a new innovative technological tool of warfare in the form of a swarm of attack drones. A systematic analysis of military logistics for conducting massive attacks with strike drones is carried out. A set of strategies for using a swarm of drones on the battlefield is formed. Possible actions related to launching drones, forming a swarm in flight, and dividing the swarm into groups with their movement to separate enemy targets are considered. Risks of enemy military threats (use of electronic warfare, anti-drone warfare, etc.) that affect the formation of routes and the possible destruction of a portion of attack drones on approach to targets are taken into account. The swarm is rationally divided into groups in flight, considering the combat potential required to defeat the enemy’s current targets. A sequence of drone swarm waves is formed depending on the level of target damage (partial damage, complete damage). When planning each wave of the drone flight, one of the proposed strategies is used. Much attention is paid to the formation of flight routes for attack drones to ensure the suddenness of a massive attack despite enemy military threats. An algorithm for generating the shortest flight route in time despite enemy anti-drone operations has been developed. A map of the air situation on the battlefield with a set of separate local zones that have different values of threat risks is formed. The route is planned considering the military risks of each local zone. A simulation model was created to study the movement of attack drones to enemy targets in time. An agent-based model is being developed to plan military logistics actions for conducting wave attacks on enemy targets using swarms and groups of attack drones. An illustrated example of planning the flight routes of a swarm of attack drones is presented, taking into account the risks of military threats. The scientific innovation of the study is related to the solution of the actual scientific and applied problem of planning the missions of a swarm of attack drones to ensure successful operational and tactical actions on the battlefield. The results of the research should be used by the military to plan and conduct attacks on enemy targets in the form of waves of swarms of attack drones.