Optical transport networks are now the basic infrastructure of modern communications systems, including the SDH and WDM backbone network of local network operators, in the case of Cameroon. Given the colossal investments required to deploy these networks, particularly related to the cost of equipment (optical fibers, transponders and multiplexers), the optimization of bandwidth and dynamic allocation of resources is essential to control operating costs and ensure continuity of service. Automatic switching technology for optical networks brings intelligence to the control plane to fully facilitate bandwidth utilization, traffic redirection, and automatic configuration of end-to-end services. This paper considers a local network operator’s WDM network without the implementation of the automatic switching technology, develops a network modeling software platform called Graphic Networks and using graph theory integrates a particularity of the automatic switching technology, which is the automatic rerouting of traffic in case of incident in the network. The incidents considered here are those links or route failures and node failures.
References
[1]
Baraketi, S. (2015) Ingénierie des réseaux optiques SDH et WDM et étude multicouche IP/MPLS sur OTN sur DWDM. https://theses.hal.science/tel-01150507
[2]
Ji, Y., Zhang, J., Zhao, Y., Li, H., Yang, Q., Ge, C., et al. (2014) All Optical Switching Networks with Energy-Efficient Technologies from Components Level to Network Level. IEEE Journal on Selected Areas in Communications, 32, 1600-1614. https://doi.org/10.1109/jsac.2014.2335352
[3]
Fages, J.-G. (2014) Exploitation de structures de graphe en programmation par contraintes. Ecole des Mines de Nantes.
[4]
Michel, D.D.E., Clovis, T.N., Christian, T.T., Mohamadou, A. and Sone, M.E. (2023) Machine Learning-Based Alarms Classification and Correlation in an SDH/WDM Optical Network to Improve Network Maintenance. Journal of Computer and Communications, 11, 122-141. https://doi.org/10.4236/jcc.2023.112009
[5]
Bernabe, B., Michel, D.D.E., Marie, C.A. and Fabrice, M.T.S. (2022) Comparing Machine Learning Algorithms for Improving the Maintenance of LTE Networks Based on Alarms Analysis. Journal of Computer and Communications, 10, 125-137. https://doi.org/10.4236/jcc.2022.1012010
[6]
Deussom Djomadji, E.M., Matemtsap Mbou, B., Tchagna Kouanou, A., Ekonde Sone, M. and Bayonbog, P. (2022) Machine Learning-Based Approach for Designing and Implementing a Collaborative Fraud Detection Model through CDR and Traffic Analysis. Transactions on Machine Learning and Artificial Intelligence, 10, 46-58. https://doi.org/10.14738/tmlai.104.12854
[7]
Djomadji, E.M.D., Basile, K.I., Christian, T.T., Djoko, F.V.K. and Sone, M.E. (2023) Machine Learning-Based Approach for Identification of SIM Box Bypass Fraud in a Telecom Network Based on CDR Analysis: Case of a Fixed and Mobile Operator in Cameroon. Journal of Computer and Communications, 11, 142-157. https://doi.org/10.4236/jcc.2023.112010
[8]
Michel, D.D.E., et al. (2022) Proposal for a Capacity Dimensioning Tool for Mobile Broadband Capacity Reservation in Submarine Optical Links: Case of Cameroon. Journal of Electrical and Electronics Engineering, 17, 62-77.
[9]
Araki, S. and Nishioka, I. (2008) Multi-Domain ASON/GMPLS Network Operations. 2008 International Conference on Photonics in Switching, Sapporo, 4-7 August 2008, 1-2. https://doi.org/10.1109/ps.2008.4804268
[10]
Müller, D. (2011) Introduction à la théorie des graphes, Vol. 6. Commission Romande de Mathématique.
[11]
Höller, H. and Voß, S. (2006) A Heuristic Approach for Combined Equipment-Planning and Routing in Multi-Layer SDH/WDM Networks. European Journal of Operational Research, 171, 787-796. https://doi.org/10.1016/j.ejor.2004.09.006
[12]
Kaczmarek, S. and Mlynarczuk, M.M. (2021) Simulator for Performance Evaluation of ASON/GMPLS Network. IEEE Access, 9, 108293-108304. https://doi.org/10.1109/access.2021.3101021
[13]
Ram Krishna and Avadhesh: Automatically Switched Optical Network (ASON). https://tec.gov.in/public/pdf/Studypaper/ASON_final%20_avadhesh_13.11.pdf
