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, 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.


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