Abstract
Due to the enormous bandwidth permitted in optical channels, optical networks are the foundation for high information rate/throughput systems. Furthermore, the communication fiber solved the latency issue because data is transformed into comparable light and transferred at light speed to the endpoints. Data flows at incredible speeds in the spectral fiber, up to tens of gigabits. The wavelength division multiplexer (WDM) technique controls data transmission in the spectral fiber by allocating every wavelength with its appropriate capacity at the optics fiber's intake. An artificial intelligence-based cognitive routing algorithm (AI-CRA) is designed in this article. A global topology adaptable path dependent on link cost upgrade is presented to improve the contribution of multi-layer and multi-domain data transmission routing, equalize system load during peak periods, and maximize resource efficiency. The global optimum primary and backup routing is achieved by using the routing needs and existing network resources as input data and resolving the system's multi-layer multi-sector optical line forwarding design.
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