Multicast Recovery Algorithm for Multilayer Multi-domain Optical Networks Based on Hybrid Swarm Intelligence
Conference: ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation
05/27/2022 - 05/29/2022 at Xishuangbanna, China
Proceedings: ISCTT 2022
Pages: 4Language: englishTyp: PDF
Authors:
Wu, Qiwu (School of Equipment Management and Support, Engineering University of PAP, Xi’an, China)
Liu, Jiaqi; Zheng, Mingzhu; Jiang, Lingzhi (School of Information Engineering, Engineering University of PAP, Xi’an, China)
Abstract:
To address the problems such as link failures in various multicast services, this paper combines the artificial fish model and non-cooperative game for intra-domain path search based on the optical network architecture of PCE, and also uses an improved fruit fly optimization algorithm to find the recovery path, so as to improve the convergence speed while obtaining a better local or full search path selection. An analytical comparison with other swarm intelligence algorithms shows that the designed MIAMA algorithm has fast convergence speed, short recovery time, and can reduce the blocking rate in harsh environments.