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Network optimisation and topology control of Free Space Optics
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Resource type
Abstract [en]

In communication networks today, the amount of users and traffic is constantly increasing. This results in the need for upgrading the networks to handle the demand. Free space optics, FSO, is a technique which is relatively cheap with high capacity compared to most systems today. On the other hand, FSO have some disadvantages with the effects on the system by, for instance, turbulence and weather. The aim of the project is to investigate the use of network optimization for designing an optimal network in terms of capacity and cost. Routing optimization is also covered in terms of singlepath and multipath routing. To mitigate the problem with turbulence affecting the system network survivability is implemented with both proactive and reactive solutions. The method used is to implement the system in Matlab, the system should also be tested so that it works as intended. The report covers related work as well as theory behind FSO and the chosen optimization algorithms. The system uses modified Bellman-Ford optimization as well as Kruskal’s minimum spanning tree. K-link-connectivity is also implemented for the network survivability and multipath algorithm. Results of the implementation shows that the network survivability improves the robustness of the system by changing paths for traffic which is affected by broken links. Routing done by multipath will increase the throughput and also reduce the delay for the traffic.

Place, publisher, year, edition, pages
2016. , 63 p.
Keyword [en]
Free-space optics, Network optimization, Routing, Network survivability
National Category
Other Engineering and Technologies not elsewhere specified
URN: urn:nbn:se:liu:diva-130003ISRN: LiU-ITN-TEK-A-16/021--SEOAI: diva2:946010
Subject / course
Electrical Engineering
Available from: 2016-07-04 Created: 2016-07-04 Last updated: 2016-07-04Bibliographically approved

Open Access in DiVA

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