Enhancing Optical Network Performance during Failures; Value Proposition from Dense Wavelength Division Multiplexing

The advancement of optical networks as the backbone of modern telecommunications has been enhanced by their high data capacity, minimal latency, and adaptability. Fiber optic technology is essential for sending large volumes of data over extensive distances, serving applications include video streaming, cloud computing, and gaming on the internet. Ensuring network survivability, defined as the ability to endure disruptions from natural or physical disasters, is essential. Fiber cable cuts are a common type of network failure, requiring efficient traffic restoration methods to ensure service continuity. Restoration solutions, divided into facility repair and facility restoration, entail trade-offs between flexibility and capacity needs, affecting their efficiency. In this context, cross-layer analytics which integrates the physical layer and data link layer of optical network are vital for improving network resilience. Dense Wavelength Division Multiplexing (DWDM) is a crucial innovation in optical communication that provides substantial benefits in capacity, distance, and spectral efficiency, rendering it essential in the core networks of telecommunication systems. This study is proposed to examine fixed and variable backup path techniques to enhance signal redirection during connection breakdowns. A comparative examination with existing methods, such as Kruskal and Hamiltonian algorithms, illustrates the effectiveness of the proposed strategy. The results enhance restoration procedures in optical networks, responding to the increasing need for dependable and high-capacity telecommunications infrastructure. The study has taken in to account secondary data concerned with capital expenditure (CAPEX) and operational expenditure (OPEX), where in network operators can determine the most cost-effective solutions while maintaining optimal network performance. It was identified that the DWDM offers a compelling value proposition in terms of cost-efficiency, scalability, and long-term operational savings.