Cooperation of different types of swarms of unmanned systems in executing missions

• Дата: 2026
• Автори: Додонов, О. Г., Додонов, В. О., Залужний, В. Ф., Кравчук, К. О., Ізварін , І. В.
• Формат: Стаття
• Мова: Українська
• Опубліковано: Інститут проблем реєстрації інформації НАН України 2026
• Теми: drone swarm; cooperation; multi-agent systems; mission planning; computer modeling; Swarm of Swarms; System of Systems
• Онлайн доступ: https://drsp.ipri.kiev.ua/article/view/363204
• Назва журналу: Data Recording, Storage & Processing

The study addresses the problem of cooperation between heterogeneous swarms of unmanned systems during mission execution in conditions of uncertainty, dynamic environments, and active opposition. The evolution lasting from the classical System of Systems (SoS) concept toward the Swarm of Swarms paradigm is analyzed. In contrast to conventional hierarchical or network-centric architectures, the proposed approach focuses on decentralized interaction, collective behavior, self-organization, and distributed intelligence of autonomous swarms. A multi-level cooperation model is proposed that includes external, inter-swarm, and intra-swarm control levels. The external level is responsible for mission goal definition and initial swarm formation, the inter-swarm level provides mission decomposition and coordination between swarms, while the intra-swarm level ensures local task allocation, routing, and adaptive interaction between agents. The research formulates the key functional problems arising in heterogeneous swarm cooperation, including dynamic swarm composition, cross-domain coordination, distributed decision-making, mission resilience, and adaptive system reconfiguration. Particular attention is paid to maintaining operational capability under losses of individual agents, entire sub-swarms, or communication degradation. Conceptual approaches to self-recovery, functional redundancy, and adaptive behavior are proposed. It is shown that the Swarm of Swarms paradigm extends the traditional SoS approach by enabling scalable, adaptive, and resilient collective systems capable of coordinated operation in complex multi-domain missions. The proposed approach can be applied to the development of distributed control architectures, cooperative mission planning systems, and simulation environments for autonomous unmanned formations. Fig.: 3. Refs: 5 titles.