Cascaded - Neural- Networks-Enabled Failure Localization in High-Degree Clos-ROADM Optical Networks

Targeting failure localization in high-degree Clos-ROADM optical networks, we propose a cascaded-neural-networks-based algorithm (Ca-NN). Results show that it achieves satisfactory accuracy under different numbers of service requests, percentages of OPMs and types of failure components.