LIU B, XIONG X, LI J P, et al. Real-time identification based shipborne network transmission optimization algorithm[J]. Chinese Journal of Ship Research, 2020, 15(Supp 1): 157–165, 179. doi: 10.19693/j.issn.1673-3185.01693
Citation: LIU B, XIONG X, LI J P, et al. Real-time identification based shipborne network transmission optimization algorithm[J]. Chinese Journal of Ship Research, 2020, 15(Supp 1): 157–165, 179. doi: 10.19693/j.issn.1673-3185.01693

Real-time identification based shipborne network transmission optimization algorithm

  •   Objectives  This paper proposes a real-time identification based algorithm named RTDB.
      Methods   The algorithm classifies messages by the real-time requirements of different types of them, and assigns different thresholds to them. The algorithm gain is then analyzed by combining Link 11 and Link 16, which are widely used by the US Navy.
      Results  Theoretical analysis shows that the algorithm can bring a certain delay gain when the data rate is greater than the network transmission bandwidth or the generation rate satisfies the deterministic distribution. In this paper, NS3 is used as the simulation platform, and the gain of the proposed algorithm is simulated and analyzed, yielding the same results as the theoretical results.
      Conclusions  The deployment cost of the proposed RTDB algorithm is small, and it can be of great significance for countries that urgently need to modernize their navies.
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