Abstract
Modern optical transport networks are extremely complicated systems that make managing and distributing management information accurate and recognisable difficult. The complexity of network management operations is increased by a variety of optical technologies and service delivery regulations. This study suggests a unique technique for analysing security as well as resource allocation in optical communication networks. Graph networks based on reinforcement beam propagation and wavelength multiplexing are used to allocate network resources. Next, software defined fuzzy logistic vector spatial networks are used to do a security study of the network. The accuracy, packet delivery ratio, routing, modulation, and spectrum assignment of the experimental investigation are all assessed. With the help of mobile edge computing resources as well as evaluation of functionality of nearby user equipment, causes causing this delay are anticipated. An effective communication network is developed to improve service quality, and a cognitive agent model is built to evaluate resource allocation.
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HJR Conceived and design the analysis RG Writing- Original draft preparation. AD Collecting the Data, SG, Contributed data and analysis stools GS, Performed and analysis, DVK Wrote the Paper KS Editing and Figure Design.
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Rani, H.J., Gupta, R., Dadhich, A. et al. Resource allocation with fuzzy logic based network optimization and security analysis in optical communication network. Opt Quant Electron 55, 1285 (2023). https://doi.org/10.1007/s11082-023-05576-0
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DOI: https://doi.org/10.1007/s11082-023-05576-0