Survivable optical network topology

The demand for increased bandwidth is on the rise given the increased need for data consumption to meet the present and future requirements for information and communication technology (ICT) deployments. Thus, requiring high capacity optical links to support this expansion. Optical networks offer hi...

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Main Author:	Al-Waeli, Wafaa Abood Rawdhan
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/93113/1/AlWaeliWafaaMSKE2020.pdf
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id	my-utm-ep.93113
record_format	uketd_dc
spelling	my-utm-ep.931132021-11-19T03:23:49Z Survivable optical network topology 2020 Al-Waeli, Wafaa Abood Rawdhan TK Electrical engineering. Electronics Nuclear engineering The demand for increased bandwidth is on the rise given the increased need for data consumption to meet the present and future requirements for information and communication technology (ICT) deployments. Thus, requiring high capacity optical links to support this expansion. Optical networks offer high-capacity fiber links for the ICT access networks, but comes with survivability concerns. The aim of this research is to assess the best approach for improving the survivability of an optical network via topology augmentation. Networks must provide reliable important services, and these networks continuously grow to cater for the ever-increasing number of clients. To improve the availability of optical networks, this project proposed to increase the network topology by adding a link(s) of appropriate length between nodes to eliminate the problem of "trap topology" so that the failure of any link with other links can be compensated. The Suurballe’s algorithm was coded in MATLAB so that we obtained the best probability for the network by finding multiple separate paths. The most important advantages of the method used is its speed in calculating availability and its effectiveness in finding the alternate line between stations in the event of a sudden cut. An optical network consisting of stations and paths is designed for the purpose of invoking them in the MATLAB simulation program and and test their paths in case the network is exposed to the most difficult conditions. The method used to develop the network, as well as the Suurballe’s algorithm, contributed to raising the survivability rate to three time than the first topology design and reduce the restoration time to a minimum a less as possible. It is believed that this method can be very useful in providing optical fiber networks. The continued survivability of optical fiber networks preserves customer data from loss and helps in increasing customer numbers continuously. 2020 Thesis http://eprints.utm.my/id/eprint/93113/ http://eprints.utm.my/id/eprint/93113/1/AlWaeliWafaaMSKE2020.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135917 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Al-Waeli, Wafaa Abood Rawdhan Survivable optical network topology
description	The demand for increased bandwidth is on the rise given the increased need for data consumption to meet the present and future requirements for information and communication technology (ICT) deployments. Thus, requiring high capacity optical links to support this expansion. Optical networks offer high-capacity fiber links for the ICT access networks, but comes with survivability concerns. The aim of this research is to assess the best approach for improving the survivability of an optical network via topology augmentation. Networks must provide reliable important services, and these networks continuously grow to cater for the ever-increasing number of clients. To improve the availability of optical networks, this project proposed to increase the network topology by adding a link(s) of appropriate length between nodes to eliminate the problem of "trap topology" so that the failure of any link with other links can be compensated. The Suurballe’s algorithm was coded in MATLAB so that we obtained the best probability for the network by finding multiple separate paths. The most important advantages of the method used is its speed in calculating availability and its effectiveness in finding the alternate line between stations in the event of a sudden cut. An optical network consisting of stations and paths is designed for the purpose of invoking them in the MATLAB simulation program and and test their paths in case the network is exposed to the most difficult conditions. The method used to develop the network, as well as the Suurballe’s algorithm, contributed to raising the survivability rate to three time than the first topology design and reduce the restoration time to a minimum a less as possible. It is believed that this method can be very useful in providing optical fiber networks. The continued survivability of optical fiber networks preserves customer data from loss and helps in increasing customer numbers continuously.
format	Thesis
qualification_level	Master's degree
author	Al-Waeli, Wafaa Abood Rawdhan
author_facet	Al-Waeli, Wafaa Abood Rawdhan
author_sort	Al-Waeli, Wafaa Abood Rawdhan
title	Survivable optical network topology
title_short	Survivable optical network topology
title_full	Survivable optical network topology
title_fullStr	Survivable optical network topology
title_full_unstemmed	Survivable optical network topology
title_sort	survivable optical network topology
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2020
url	http://eprints.utm.my/id/eprint/93113/1/AlWaeliWafaaMSKE2020.pdf
_version_	1747818634596581376

Survivable optical network topology

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