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Real time scheduling in Intelligent Transportation Systems
KTH, School of Electrical Engineering (EES), Automatic Control.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In recent years Intelligent Transportation Systems leveraged numerous applications in vehicular networks. To achieve an ecient network utilization while ensuring acceptable performance, it is instrumental to design the transportation systems and to optimize network resources. In this thesis, we focus on real time scheduling algorithms for Intelligent Transportation Systems. The proposed scheduling algorithms consider TDMA based MACs, and aim at minimizing the average delay. Each algorithm allocates the resources based on the channel conditions: a user with good channel should transmit for longer time than a user with bad channel condition. The scheduling algorithms are devised by solving a related linear programming problem. It is shown how the average delay can be minimized by using appropriate multi-hop con gurations.

Place, publisher, year, edition, pages
2011. , 77 p.
EES Examensarbete / Master Thesis, XR-EE-RT 2012:029
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering
URN: urn:nbn:se:kth:diva-104018OAI: diva2:562645
Available from: 2012-11-08 Created: 2012-10-25 Last updated: 2012-11-08Bibliographically approved

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XR-EE-RT_2012-029_Giada Meogrossi(2408 kB)166 downloads
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Electrical Engineering, Electronic Engineering, Information EngineeringControl Engineering

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