SDN-based hierarchically enhanced regularized routing optimization algorithm in space–ground–sea integrated network
TL;DR
Simulation results demonstrate that the proposed HRRO algorithm outperforms the conventional Dijkstra, OSPF, and RRO algorithms in reducing end-to-end latency, lowering packet loss rates, and improving network throughput.
Abstract
To address the challenges of highly dynamic topology and limited resources in the Space-Ground-Sea Integrated Network, this study proposes a Hierarchical Regularized Routing Optimization (HRRO) algorithm based on Software-Defined Networking (SDN). Based on the SDN architecture, the algorithm organizes the network topology hierarchically and utilizes a dynamic weight matrix to capture real-time link conditions. It incorporates a congestion prediction model to avoid high-risk links proactively. An enhanced Dijkstra-based method is then applied for routing computation and optimization, enabling joint optimization of latency and resource utilization. Simulation results demonstrate that the proposed HRRO algorithm outperforms the conventional Dijkstra, OSPF, and RRO algorithms in reducing end-to-end latency, lowering packet loss rates, and improving network throughput.