Optimization of High Capacity Optical Transport Network Using Riverbed SP Guru Transport Planner for Metropolitan Network

Ajibodu, F.A and Adetona, Z.A and Ayelabowo, O.P (2016) Optimization of High Capacity Optical Transport Network Using Riverbed SP Guru Transport Planner for Metropolitan Network. In: 3rd National Engineering Conference, 25-28 Nov, 2016, The Federal Polytechnic Ilaro, Ogun State.

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Abstract

Network optimization is inevitable to improve network carrying capacity and reliability of an ICT optical fiber network which capacity is otherwise limited. In this paper, a multilayer transport network capable of carrying high volumes of traffic utilizing SDH/DWDM technology is designed using SP Guru transport planner software. This network describes five network nodes in which the main service stations are located in five major cities (London, Birmingham, Glasgow, Edinburg and York) connected in a mesh topology. Different scenarios having provision for protected and unprotected Link mode in order to evaluate and compare the cost and effective option of protection to be used are described. Two criteria are set to determine the best scenario, namely the cost and survivability of the network. In this model, different scenario links and node are failed to determine the amount of links affected and maximum delay to reroute under faulty link or node condition (link protected mode). The result obtained comparing the cost and failure analysis in protected and unprotected mode scenarios showed that in protected mode under different failure conditions the system failed link was all recovered within and in the unprotected link mode unaffected ratio of about 85% was obtained. It was also shown that the cost of the network link and node is having a difference in cost margin of less than 6% between protected and unprotected scenario. This result is a deployable method in ICT fiber infrastructure in Nigeria as it provides a high carrying capacity for networks.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mr Adedamola Bameke
Date Deposited:	03 Jul 2020 11:51
Last Modified:	03 Jul 2020 11:51
URI:	http://eprints.federalpolyilaro.edu.ng/id/eprint/905

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