FL-SDUAN: A Fuzzy Logic-Based Routing Scheme for Software-Defined Underwater Acoustic Networks

In underwater acoustic networks, the accurate estimation of routing weights is NP-hard due to time-varying environment. Fuzzy logic a powerful tool for dealing with vague problems. Software-defined networking (SDN) promising technology that enables flexible management by decoupling data plane from control plane. Inspired this, we proposed fuzzy logic-based software-defined scheme networks (FL-SDUAN). Specifically, designed network architecture. Based on path optimization (FPO-MST) and cut-set (FCO-MST), two minimum spanning tree algorithms under different scales were proposed. addition, compared state-of-the-art methods regarding packet delivery rate, end-to-end latency, throughput in scenarios. Extensive experiments demonstrated trade-off between performance complexity was achieved our work.