![]() ![]() The AI system was simulated by a cloud structure with the ability to change the delay and the probability of packet losses. Based on the original model containing a Base Station (BS), a stratospheric Remotely Piloted Air System (RPAS) with an AI system, a low-orbit satellite, a low-altitude RPAS and a user of a terrestrial cellular network, data traffic was simulated using NetCracker Professional 4.1 software. This work is devoted to the calculation of packet losses in SAGIN, containing additional hardware of AI system. In this regard, the analysis of data loss in SAGIN with AI is relevant. AI can use information collected by drone sensors to develop routing protocols, optimize communication networks, improve energy efficiency, and predict user behavior. Modern solutions based on Artificial Intelligence (AI) play an important role in the management of drone’s resources in Space-Air-Ground-Integrated-Network (SAGIN). ![]()
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