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Wavelength assignment in optical fiber with intelligent optimization and assignment scheme for static and dynamic traffic intensity based Photonic networks

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Abstract

Photonic Integrated Circuits (PIC) make it possible to meet expanding demand for internet communication systems, which is growing at a pace of roughly 40% each year. The increase in video traffic on internet network is primarily responsible for this growth. This research propose novel technique in wavelength allocation with optimization of optical fibre and traffic intensity optimization for photonic networks in both static and dynamic schemes. Here the wavelength has been allocated using optical doped amplifier with wavelength differential evolution based optimization algorithm (Damp_WaDiff_EvolOpt). The traffic intensity has been optimized in static and dynamic photonic network using optical bandwidth based routing spectrum allocation (Opt_Band_RSA). For test optical networks with up to 40 nodes, proposed technique is assessed. Experiments indicate that the Damp_WaDiff_EvolOpt_ Opt_Band RSA method produces results that are equal to lower bound of the network wavelength requirement (NWR) for networks with and without wavelength conversion capability, while reducing average path length (APL). From fitness of objective function of Damp_WaDiff_EvolOpt_Opt_Band_RSA, best routing path as well as availability of wavelength for a node is analysed at every time instant. Proposed technique obtained BP of 89%, throughput of 98%, time delay of 25%, and QoS of 97%, NWR of 62% and APL of 70%.

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Correspondence to B. Muthu Kumar.

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This article is part of the Topical Collection on Photonic Integrated Circuits for High-Speed Optical Networks.

Guest edited by Shanmuga Sundar Dhanabalan, Marcos Flores Carrasco, Rajesh M. Sanjivani, Arun Thirumurugan and Sitharthan R.

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Kumar, B.M., Guduru, R.K.R., Srinivas, A. et al. Wavelength assignment in optical fiber with intelligent optimization and assignment scheme for static and dynamic traffic intensity based Photonic networks. Opt Quant Electron 54, 526 (2022). https://doi.org/10.1007/s11082-022-03880-9

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