RADIOELECTRONIC AND COMPUTER SYSTEMS

This article solves the relevant task of studying military operations on a massive wave attack by a swarm of strike drones against enemy targets in a combat zone (CZ) of a military conflict. This research solves operational and tactical tasks for planning active actions on the battlefield by applying a massive strike on enemy targets by a swarm of combat drones (kamikaze drones). Therefore, the topic of the proposed publication is relevant; it analyzes and explores the sequence of logistical military actions to plan a massive attack using waves of strike drones. The purpose of this study is to create a set of models for applied information technology that will allow planning logistical actions for the effective use of a strike drone swarm to conduct a massive wave attack on enemy targets. This article analyzes problems associated with the formation of a swarm of drones, splitting the swarm into groups, and forming waves for active combat operations on the battlefield. Enemy targets will be attacked by strike drones in the waves formation, which makes it possible to carry out further successful operational and tactical actions. This study assesses the combat capability of a swarm of drones required to defeat enemy targets in a military conflict zone. It creates a systematic representation of the sequence of actions taken to plan a massive drone swarm attack, considering the combat capability and number of drones. With the help of military experts, the composition of the actual CZs is formed, in which the targets must be hit in the first place. The swarm of drones is rationally divided into groups that are directed to a set of targets in the CZs, considering the combat capability of drones to defeat targets. Waves of strike drones are planned to maximize damage to enemy targets. This research analyzes possible directions of drone movement toward enemy targets despite military threats. The models form flight routes of drones swarming to enemy targets under the conditions of possible anti-drone actions. An agent model was created using the Any Logic platform to simulate drone flight and form the routes of the drone swarm groups. This article presents an illustrated example of planning logistical actions to use waves of strike drone swarms for a massive attack on enemy targets. The scientific novelty of this study is related to solving the relevant problem of preparing and planning logistical actions for a massive attack on enemy targets using waves of strike drones by creating a set of optimization and simulation models that contribute to the effectiveness of further military attack operations on the battlefield. The results of the study could be used by military leaders to plan the use of a drone swarm to launch a massive attack on enemy targets in a military conflict zone.

massive attack by a swarm of strike drones; waves of a strike drone swarm; distribution of a drone swarm into groups; planning of flight routes of a strike drone swarm; optimization planning models; agent-based simulation of drone movement

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