Node Betweenness Centrality-Based Controller Selection Algorithm for Large-Scale Optical Transport Networks

This paper presents a controller selection algorithm based on maximizing node betweenness centrality (MNB), which heuristically selects controller locations and improves control efficiency. Simulation results show that MNB reduces node configuration operations by 4.27% compared with random selection in a 100-node network, and improves routing success probability by 34.3% compared with centralized control in a 24-node topology.