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Authors : PhD student M . Kurmis 1 , mindaugas.kurmis@mii.vu.lt

Vilnius U niversit y Institute of Mathematics and Informatics 1 Department of Informatics and Software Systems 2 Klaipeda University Informatics Engineering Department 3.

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Authors : PhD student M . Kurmis 1 , mindaugas.kurmis@mii.vu.lt

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  1. Vilnius UniversityInstitute of Mathematics and Informatics1 Department of Informatics and Software Systems2 KlaipedaUniversityInformaticsEngineering Department3 Investigation of Data Transfer Capabilities for Heterogeneous Service Support in Critical Mobile Objects Communication Situations Authors: PhDstudent M. Kurmis1, mindaugas.kurmis@mii.vu.lt Prof. D. Dzemydiene2, daledz@mruni.eu Prof. A. Andziulis3, arunas.iik.ku@gmail.com Baltic DB & IS 2012 July 8-11, 2012, Vilnius, Lithuania

  2. Vehicular Communication Networks and Their Architecture CAR 2 CAR Communication Consortium, 2011 Baltic DB & IS 2012 Lee U., Gerla M., 2010

  3. The aim of this work • This work evaluates the data-transfer efficiency in a mobile communication network when the sender and the receiver is moving in opposite directions at high speed. Baltic DB & IS 2012

  4. The specific characteristics and challenges of the vehicular communication networks Baltic DB & IS 2012

  5. Data transmission quality requirements for different services support in vehicular communication networks

  6. Simulation environment • The experiments were carried out in the simulation environment NCTUns6.0. • It uses the existent Linux TCP/UDP/IP protocols stack; • It provides high-accuracy results; • It can be used with any actual Unix application on a simulated node without additional modifications; • It supports 802.11a/b/p, 802.16e communication networks and vehicle mobility modeling; • It is capable of the repeatedsimulation results. Baltic DB & IS 2012

  7. Experimental scenario Baltic DB & IS 2012

  8. Experimental Results Data download rate dependence from time with a different number of vehicles in the network Baltic DB & IS 2012

  9. Experimental Results Sender node Receiver node The average data downlink and uplink throughput with a different number of vehicles Baltic DB & IS 2012

  10. Experimental Results Sender node Receiver node Collisions rate dependence on receiver and sender nodes with a different number of vehicles Baltic DB & IS 2012

  11. Conclusions • It was found that the longest communication can be maintained at the maximum number of vehicles, but that communication quality is inversely proportional with the number of vehicles, as the increasing number of vehicles - increasing data and network flooding occurs in many collisions. Baltic DB & IS 2012

  12. Conclusions • To provide quality heterogeneous services it is necessary new routing protocols and channel access methods for the large volume fast changing topology networks. • Future plans to extend the study to include other proactive, reactive and hybrid (ADV, DSDV, AORP, etc.) routing protocols. Baltic DB & IS 2012

  13. Acknowledgements • The authors thank the Project LLIV-215 “JRTC Extension in Area of Development of Distributed Real-Time Signal Processing and Control Systems” for the possibility to complete a scientific research. Baltic DB & IS 2012

  14. ThankYouforYourattention!

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