(КПІ ім. Ігоря Сікорського, 2023) Akhaladze, A.; Lisovychenko, O.; Bogdanova, N.
This article considers an approach to solving the problem of losing control over a swarm of drones when the connection with the IoT infrastructure is lost. The use of artificial intelligence models of Azure Cognitive Service was proposed to search and classify the command by the operator when creating a duplicate control system. The designed control system has the possibility of deployment on each drone before the execution of the flight plan, maintenance of performance in conditions of lack of communication with the IoT infrastructure in the presence of only visual contact with the operator.
(КПІ ім. Ігоря Сікорського, 2023) Akhaladze, I.; Lisovychenko, O.
An architectural approach and software methods for ensuring a stable communication channel between swarm members in the absence of communication with the control hub are considered and proposed. The proposed architectural approach and software methods make it possible to provide multi-channel communication between drones in a swarm in the low frequency range. The channel ensures guaranteed delivery of messages, even in case of interference or noise.