Modelling and Simulation Analysis of Routing Algorithms in Multichannel Optical Communication Networks
DOI:
https://doi.org/10.48149/jciees.2021.1.1.5Keywords:
multichannel network, spectral multiplexing, blocking probability, routing algorithms, weight functionsAbstract
In this paper, it is considered the broadband backbone optical networks with wavelength routing and circuit switching used to build long-range wide area networks. In this type of network, if there is an available and acknowledged connection request, it is necessary to determine the optimal path between the optical communication nodes in the network. This also requires the assignment of an optimal set of wavelengths along the selected route between these nodes. This paper takes into account the multichannel optical communication networks with spectral multiplexing. Four different routing algorithms are modeled and analyzed for which their weight functions are determined to take into account various factors, such as the total distance of the individual routes, the total number of available wavelengths for a given route and how many of them are available for use. It is studied and compared the performance of the proposed algorithms in a multichannel optical network in terms of blocking probability.
Metrics
References
Sivalingam K. & Subramanian S. (2000). Optical WDM Networks: Principles and Practice. Boston, MA: Kluwer Academic Publishers
Miliotis K., Papadimitriou G. & Pomportsis A. (2003). Design alternatives for wavelength routing networks. Optics & Laser Technology, vol. 35, no.2, pp. 137-154, https://doi.org/10.1016/S0030-3992(02)00165-2.
Li C., Wai P. & Victor L. (2013). On Wavelength-Routed Networks With Reversible Wavelength Channels. Journal of Lightwave Technology, vol. 31, no. 9, pp. 1409-1417, doi: 10.1109/JLT.2013.2250481.
Karasan E. & Ayanoglu E. (1998). Effects of wavelength routing and selection algorithms on wavelength conversion gain in WDM networks. IEEE/ACM Transactions on Networking, vol. 6, no. 2, pp. 186-196, doi: 10.1109/90.664267.
Chen, Y., Bari, A. & Jaekel, A. (2012). Optimal regenerator assignment and resource allocation strategies for translucent optical networks. Photon Netw Commun 23, pp. 16–24. https://doi.org/10.1007/s11107-011-0331-1.
Yabin Y., Chai T., Cheng T. & Lu C., (2006). Dynamic routing and wavelength assignment algorithms in wavelength division multiplexed translucent optical networks”. Computer Communications. vol. 29, issue 15, pp. 2975–2984. https://doi.org/10.1016/j.comcom.2006.04.013
Koganti R. & Sidhu D., (2014). Analysis of Routing and Wavelength Assignment in Large WDM Networks, Procedia Computer Science, vol. 34, pp. 71-78, https://doi.org/10.1016/j.procs.2014.07.047.
Sakai T., Hanawa D., Noguchi K., Sakamoto T. & Oguchi K. (2010). Software simulator prototype for wavelength routing network design. 33rd International Conference on Telecommunications and Signal Processing - TSP 2010, pp. 363-366.
Birman A. (1996). Computing Approximate Blocking Probabilities for a Class of All-Optical Network. IEEE Journal on Selected Areas in Communications, vol. 14, no. 5, pp. 852-857, doi: 10.1109/49.510908.
Angelov K. & Sadinov S. (2019). Investigation of the Reliability of Service Equipment in Communication Networks”, 27th National Conference with International Participation (TELECOM), pp. 58-61, doi: 10.1109/TELECOM48729.2019.8994894.
Angelov K., Sadinov S. & Kogias P., (2019). Modelling and optimization of multichannel optical communication lines, International Scientific Conference UNITECH 2019, pp. I-322-326.
Sharma R. & Raghuwanshi S. (2018). Computer Model for EDFA Dynamics Over 1525–1560 nm Band Using a Novel Multi-Wavelength MATLAB Simulink Test Bed for 8-Channels”. IETE Journal of Research, 64:6, pp. 814-831, DOI: 10.1080/03772063.2017.1369908, pp. 814-831, 2018.
Sadinov S. (2017). Simulation Modeling and Research of 8-channel WDM System. International Scientific Conference - UNITECH 2017, pp. II-108-113.
Chatterjee B., Sarma N. & Sahu P. (2013). Review and Performance Analysis on Routing and Wavelength Assignment Approaches for Optical Networks. IETE Technical Review. vol. 30. pp. 59-70. 10.4103/0256-4602.107335.
Iliev M., Balabanova I., Kostadinova S. & Georgiev G. (2019). Statistical Processing and Quality of Service for Incoming Traffic in Markov Chains. 29th Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE), pp. 1-7, doi: 10.1109/EAEEIE46886.2019.9000418.
Ivanova E., Iliev T., Mihaylov G., Keseev V. & Stoyanov I. (2019). Significant Simulation Parameters for RESTART/LRE Method in Teletraffic Systems of Ultra Broadband Convergence Networks. In: Silhavy R., Silhavy P., Prokopova Z. (eds) Intelligent Systems in Cybernetics and Automation Control Theory. CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol 860. Springer, Cham. https://doi.org/10.1007/978-3-030-00184-1_7.
Sadinov S., Balabanova I. & Georgiev G. (2018) “Statistical models for predicting of teletraphic parameters of Marckov chains”, International Journal 'Information Models and Analyses", ITHEA 2018, Vol. 7, no.1, pp. 77-88.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 The Journal of CIEES

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.