전술 애드혹 네트워크에서 실시간 서비스의 성능 향상을 위한 AI 기반 라우팅 경로 신뢰성 판단 기술

초록

With the advancement of information and communication technology, it has become important in modern warfare to connect weapon systems into a single network and shorten the time required for surveillance, reconnaissance, decision-making, and precision strike processes. However, when configuring a Tactical Ad-hoc Network in a battlefield where it is difficult to receive support from a backbone network, there is a problem in that it is difficult to provide end-to-end real-time tactical services such as voice or video with stable performance due to changes in frequency characteristics and topology. Researches are being conducted to reflect various elements required for networking into protocol operations by utilizing AI and ML technologies, but no networking technology has been proposed that considers the quality of real-time services in a tactical ad-hoc environment. In this paper, we propose an AI-based real-time traffic transmission path reliability assessment technology applicable to tactical ad-hoc terminals. In this paper, it is demonstrated through experimental results that performance of real-time service is improved when the reliability assessment of traffic transmission paths based on an AI model is applied and the routing paths are proactively switched.

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