{'fraction_non_alphanumeric': 0.024716786817713696, 'fraction_numerical': 0.0, 'mean_word_length': 5.394736842105263, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Adaptive routing and wavelength assignment with power constraints using Ant Colony Optimization

This work proposes a novel routing algorithm for transparent optical networks, which is based on the ant colony optimization (ACO) meta-heuristics. It takes into consideration the bit error rate (BER) of the connections that is derived from amplified spontaneous emission (ASE) noise accumulated along the lightpath. We implement a call admission control (CAC) to verify if a connection meets the following criteria: it has a BER below the maximum level, which is given by the sensitivity power at each component, and the total aggregate power on every network link is below a threshold, which is necessary to mitigate fiber non-linear effects. By using an integrated generalized multi-protocol label switching (GMPLS) control plane, we demonstrate the effectiveness of our proposed algorithm over a fixed-alternate routing scheme to reduce the overall blocking probability.