Estimation of Distances to Integrate the National Fiber Optic Backbone Network into the Peruvian Army
Muchica Ccama W.J.; Mauri Pérez L.; Quinto Huamán C.; Chachi Montes L.; Romero Vela S.L.; Bobadilla Saavedra W. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/leird2025.1.1.180
Resumen
Currently, data transport networks represent a crucial strategic infrastructure for interconnection between countries as well as between the population and governments. For instance, in Australia, the National Broadband Network (NBN) has improved access to digital services in remote communities through the combined use of technologies such as fiber optics, satellite, and wireless networks. In the case of Peru, the National Fiber Optic Backbone Network (RDNFO) was designed to reduce the digital divide and ensure access to the internet and communication services in rural and vulnerable areas through modern telecommunications infrastructure. However, the connectivity of the Peruvian Army to this network is limited, as it currently depends partially on the private telecommunications operator NEXTNET, which incurs high implementation and maintenance costs. To address this issue, this paper presents a tool to estimate the necessary distances between the units and dependencies of the Peruvian Army and the access and distribution nodes of the RDNFO, with the goal of optimizing the design and deployment of the fiber optic network. The developed tool utilizes Google Apps Script, a JavaScript-based scripting environment that enables task automation and efficient handling of geospatial data through integration with services such as Google Maps API. The tool estimated the distances between the Backbone Network nodes and the units of the Peruvian Army (III-DE) with an average error of 12.41%. This resulted in an additional 23.446 kilometers, generating an extra cost of USD 18,756.80. Despite the increase, the tool ensures greater accuracy and reliability, minimizing risks during the fiber optic deployment process. © LEIRD 2025.All rights reserved.
Instituciones: Universidad Nacional de Huancavelica; Universidad Privada del Norte