Artificial Intelligence Based Dynamic Wavelength Grouping for QoS in Optical Packet Switched Networks

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Wakeel Ahmad


In optical packet switching (OPS) networks wavelengths are shared on optical links and data packets are multiplexed statistically in all-optical domain. Quality of service concerns about management of resources and traffic control to deliver improved services to specific traffic classes. An artificial Intelligence-based dynamic wavelength grouping (AIDWG) scheme is proposed for OPS. In this scheme, available wavelengths are partitioned dynamically by Linear Regression Model (LRM) and allocated to traffic service classes at each network link. AIDWG tracks the load, blocking, wait time and utilization of each traffic class and schedules optical packets according to the assigned group of wavelengths. IBKSim simulator is used to examine the performance of NSFNet topology. DWG beats its previous static version(SWG) by a significant factor. Due to the flexibility, the proposed AIDWG technique gives good results in Blocking and Throughput even when the load share of one class is significantly less than other classes of traffic.

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How to Cite
Madeeha Kanwal, DR. FARRUKH ZESHAN, DR. RASHID AMIN, DR. SYED M. ADNAN, & Wakeel Ahmad. (2021). Artificial Intelligence Based Dynamic Wavelength Grouping for QoS in Optical Packet Switched Networks . University of Wah Journal of Science and Technology (UWJST), 5(1), 34-40. Retrieved from
Author Biography

MADEEHA KANWAL , University of Engineering and Technology Taxila

I completed my MS degree in Computer Science from University of Engineering and Technology Taxila, Pakistan in 2020. Previously, I received my BS degree in Software Engineering from Government College University Faisalabad, Pakistan in 2018. My major research interests Include artificial intelligence, Optical Networks Specifically Optical Packet Switched Networks and Wavelength Division Multiplexing Networks. Currently, my research efforts are about bringing novelty in Optical Networks in terms of Quality of Service using Artificial intelligence models.


[1] Coffman, K. G. and A. M. Odlyzko. Growth of the Internet, Optical fiber telecommunications IV-BElsevier, 2002.
[2] Kiran, Y., T. Venkatesh and C. S. R. Murthy. Reinforcement learning based path selection and wavelength selection in optical burst switched networks, 3rd International Conference on Broadband Communications, Networks and Systems, 2006, pp. 1-8.
[3] Bibi, H., F. Z. Khan, M. Ahmad, et al. Dynamic Wavelength Grouping for Quality of Service in Optical Packet Switching, IEEE Access, Vol. 9, pp. 60946-60959, 2021.
[4] Cacheda, R. A., D. C. García, A. Cuevas, et al. QoS requirements for multimedia services, Resource management in satellite networksSpringer, 2007.
[5] Musumeci, F., C. Rottondi, A. Nag, et al. An overview on application of machine learning techniques in optical networks, Vol. 21(2), pp. 1383-1408, 2018.
[6] Mata, J., I. de Miguel, R. J. Duran, et al. Artificial intelligence (AI) methods in optical networks: A comprehensive survey, Vol. 28, pp. 43-57, 2018.
[7] Khan, F. Z., M. F. Hayat, T. Hołyński, et al. Towards dynamic wavelength grouping for QoS in optical burst-switched networks, 2017 40th International Conference on Telecommunications and Signal Processing (TSP), 2017, pp. 79-85.
[8] Qi, J., F. Wu, L. Li, et al. Artificial intelligence applications in the telecommunications industry, Vol. 24(4), pp. 271-291, 2007.
[9] Russell Stuart, J. and P. Norvig. Artificial intelligence: a modern approach, Prentice Hall, 3rd edition, 2009.
[10] Yao, S., B. Mukherjee and S. J. I. C. M. Dixit. Advances in photonic packet switching: An overview, Vol. 38(2), pp. 84-94, 2000.
[11] Kharroubi, F., L. Chen and J. Yu. Approaches and controllers to solving the contention problem for packet switching networks: a survey, Internet of ThingsSpringer, 2012.
[12] Ware, C., W. Samoud, P. Gravey, et al. Recent advances in optical and hybrid packet switching, 2016 18th International Conference on Transparent Optical Networks (ICTON), 2016, pp. 1-4.
[13] Chi, H., X. Zhang and K. Chen. Wavelength-based interclass bandwidth management for optical burst switched networks, Optical Transmission, Switching, and Subsystems, 2004, pp. 788-795.
[14] Xue, F., Z. Pan, Y. Bansal, et al. End-to-end contention resolution schemes for an optical packet switching network with enhanced edge routers, Vol. 21(11), pp. 2595, 2003.
[15] Vokkarane, V. M. and J. P. J. I. j. o. S. A. i. C. Jue. Prioritized burst segmentation and composite burst-assembly techniques for QoS support in optical burst-switched networks, Vol. 21(7), pp. 1198-1209, 2003.
[16] Rahbar, A. G. P., O. W. J. I. C. S. Yang and Tutorials. Contention avoidance and resolution schemes in bufferless all-optical packet-switched networks: a survey, Vol. 10(4), pp. 94-107, 2008.
[17] Øverby, H. and N. J. W. N. Stol. QoS differentiation in asynchronous bufferless optical packet switched networks, Vol. 12(3), pp. 383-394, 2006.
[18] Lee, S., K. Sriram, H. Kim, et al. Contention-based limited deflection routing protocol in optical burst-switched networks, Vol. 23(8), pp. 1596-1611, 2005.
[19] Haeri, S. and L. J. I. T. o. C. Trajković. Intelligent deflection routing in buffer-less networks, Vol. 45(2), pp. 316-327, 2014.
[20] Callegati, F., W. Cerroni and C. Raffaelli. Routing techniques in optical packet-switched networks, Proceedings of 2005 7th International Conference Transparent Optical Networks, 2005., 2005, pp. 175-178.
[21] Khattab, T., A. Mohamed, A. Kaheel, et al. Optical packet switching with packet aggregation, IEEE International Conference on Software, Telecommunications, and Computer Networks (SOFTCOM), 2002.
[22] Bjornstad, S. and H. Overby. Quality of service differentiation in optical packet/burst switching: A performance and reliability perspective, Proceedings of 2005 7th International Conference Transparent Optical Networks, 2005., 2005, pp. 85-90.
[23] Pevac, D. and M. Pevac. The influence of a wavelength allocation scheme to an Optical Burst Switching node performance, EUROCON 2007-The International Conference on" Computer as a Tool", 2007, pp. 1068-1072.
[24] Rahbar, A. G. P. and O. J. J. o. O. N. Yang. Fiber-channel trade-off for reducing collisions in slotted single-hop optical packet-switched networks, Vol. 6(7), pp. 897-912, 2007.
[25] Zhang, Q., V. M. Vokkarane, B. Chen, et al. Early drop and wavelength grouping schemes for providing absolute QoS differentiation in optical burst-switched networks, GLOBECOM'03. IEEE Global Telecommunications Conference (IEEE Cat. No. 03CH37489), 2003, pp. 2694-2698.
[26] Bibi, H., F. Z. Khan, M. Ahmad, et al. Dynamic Wavelength Grouping for Quality of Service in Optical Packet Switching, Vol. 9, pp. 60946-60959, 2021.
[27] Asghari, M., A. G. J. O. S. Rahbar and Networking. Contention avoidance in bufferless slotted optical packet switched networks with egress switch coordination, Vol. 18, pp. 104-119, 2015.
[28] Asghari, M. and A. G. J. O. F. T. Rahbar. Contentionless transmission in buffer-less slotted optical packet switched networks, Vol. 30, pp. 134-146, 2016.
[29] Kralevska, K., H. Overby and D. Gligoroski. Coded packet transport for optical packet/burst switched networks, 2015 IEEE Global Communications Conference (GLOBECOM), 2015, pp. 1-6.
[30] Kaheel, A., T. Khattab, A. Mohamed, et al. Quality-of-service mechanisms in IP-over-WDM networks, Vol. 40(12), pp. 38-43, 2002.
[31] Hailu, D. H., G. G. Lema, B. G. Gebrehaweria, et al. Quality of Service (QoS) improving schemes in optical networks, Vol. 6(4), pp. e03772, 2020.
[32] Øverby, H. J. O. e. Network layer packet redundancy in optical packet switched networks, Vol. 12(20), pp. 4881-4895, 2004.
[33] Ji, Y., R. Gu, Z. Yang, et al. Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies, Vol. 63, pp. 1-24, 2020.
[34] Praveen, J., B. Praveen, T. Venkatesh, et al. A first step toward autonomic optical burst switched networks, Vol. 24(12), pp. 94-105, 2006.
[35] Elbiaze, H. Cognitive mechanisms for providing QoS in OBS networks, 2011 13th International Conference on Transparent Optical Networks, 2011, pp. 1-4.
[36] Chua, K. C., M. Gurusamy, Y. Liu, et al. Quality of service in optical burst switched networks, Springer Science & Business Media, 2007.
[37] Wei, W., Q. Zeng, Y. Ouyang, et al. Differentiated integrated QoS control in the optical Internet, Vol. 42(11), pp. S27-S34, 2004.
[38] Wallentin, L., M. Happenhofer, C. Egger, et al. Xml meets simulation: Concepts and architecture of the ibksim network simulator, Vol. 41, 2010.