Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleArticle metrics
Review Article · Open access · Published 13 October 2020

Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive Survey

Owusu Nyarko-Boateng1, Adebayo F. Adekoya2 & Benjamin A. Weyori1

Journal of Computer Science, Volume 16, Issue 10, pp. 1355–1366 · doi.org/10.3844/jcssp.2020.1355.1366

6,719 accesses4,162 downloads3 citations (Crossref)Journal metrics
Cite Check for updates

Abstract

Aiming at building new global optical network infrastructure optimized with fault tracing capabilities, light transmission monitoring, packets re-routing and reconfigurations require an intelligent optical transmission system. An intelligent approach to solve the increasingly complex problems, to enhance fault tracing in the underground optical network infrastructure need to be adopted. For over forty decades now, Optical Time Domain Reflectometry (OTDR) technology has been used to determine faults distance in Fiber Optic Cable (FOC). When it comes to underground optical networking, using OTDR measurements to trace fault on the earth surface takes much longer time since the device only measures the length of underground FOC from the optical transmitter to the point of the fault. Finding the exact spot of fault on earth is a complicated task due to several factors identified in this study. A comprehensive review of previous papers on how OTDR device and other scientific techniques have been used to trace faults in underground FOC were presented in this study. Due to the identified drawbacks in the OTDR to precisely trace fault in underground FOC networks, an intelligent fault tracing technique has been proposed to aid the process. The objective of this paper sought to conduct a comprehensive systematic review of previous studies on fault-finding techniques in underground FOC. To give a clear view of the available technologies used to conduct fault finding activities in underground FOC. The available intelligent systems and the possible future directions of tracing faults in FOC promptly and in a more economical manner.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Nyarko-Boateng, O., Adekoya, A. F. & Weyori, B. A. (2020). Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive Survey. Journal of Computer Science, 16(10), 1355–1366. https://doi.org/10.3844/jcssp.2020.1355.1366

Licence
CC BY 3.0
Issue
Volume 16, Issue 10
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive SurveyJournal of Computer Science · Volume 16, Issue 10 · pp. 1355–1366 · CC BY 3.0Download