Neurofuzzy and Biogeography-Based Optimization of Bandwidth Granularity for PON Based on Optical Path Fragmentation

Abstract Passive optical network (PON) supported orthogonal frequency division multiplexing is a network that is designed for subsequent generation of optical networks. During this work, the proposed algorithm consists of neurofuzzy rules which update and control the minimum bandwidth allocation granularity g\left( g \right). In order to improve the quality of service, a biogeography-based optimization algorithm is introduced and a new fitness function is proposed which reduces the round trip time by enhancing the distribution scaling factor. Hence, the proposed work reduces the jitter and increases the throughput of the PON for fixed g=1g = 1 which enhances the network performance by 3.4 % and 1.23 %, respectively.