This project develops a sophisticated algorithm for adaptive reconfiguration in multipath networks, addressing the challenges posed by the dynamic nature of digital communications. It integrates artificial intelligence and machine learning techniques to enhance real-time network adjustments and predict future conditions, aiming to improve network performance and prevent congestion. The project includes designing a novel algorithm, predictive analytics, and extensive testing to ensure adaptability and effectiveness in diverse network scenarios. This innovation aims to transform network management and set new standards in the field.
Махфод К. (науч. рук. Богатырёв В.А.) Adaptive Network Reconfiguration in Multipath Environments // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2024]. URL: https://kmu.itmo.ru/digests/article/11950