Abstract
Complexity in network topologies and designs is rising, leading to the greater use of artificial intelligence and learning in the network control layer. The secret to efficient global activity for large-scale social constructivist platforms is deciding how to deploy intelligence. For deployment models (unified vs. ununified) to produce the best performance, we suggest a hybrid paradigm that incorporates network thought systems known as AI-powered smart routers. We put the control for high-oriented regulatory functions in a single place to guarantee good QoS. At the same time, for economic integration, we assign control to each connection to the AI-router for an IP hop-by-hop, giving more route path choices. The ununified/hybridized AI model involves distributed route management, using AI to provide successful centralized tunnelling of routing state and distributed control for path ingress and egress.
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Panigrahi, G.R., Barpanda, N.K., Chandra Mohanty, S., Das, A. (2022). AI-Powered Smart Routers. In: Patnaik, S., Kountchev, R., Jain, V. (eds) Smart and Sustainable Technologies: Rural and Tribal Development Using IoT and Cloud Computing. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-2277-0_10
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DOI: https://doi.org/10.1007/978-981-19-2277-0_10
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