authors : phd student m . kurmis 1 , [email protected]
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Vilnius U niversit y Institute of Mathematics and Informatics 1 Department of Informatics and Software Systems 2 Klaipeda University Informatics Engineering Department 3. - PowerPoint PPT PresentationTRANSCRIPT
Authors: PhD student M. Kurmis1, [email protected]
Prof. D. Dzemydiene2, [email protected] Prof. A. Andziulis3, [email protected]
Baltic DB & IS 2012July 8-11, 2012, Vilnius, Lithuania
Vilnius University Institute of Mathematics and Informatics1
Department of Informatics and Software Systems2
Klaipeda University Informatics Engineering Department3
Investigation of Data Transfer Capabilities for Heterogeneous Service
Support in Critical Mobile Objects Communication Situations
Vehicular Communication Networks and Their Architecture
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CAR 2 CAR Communication Consortium, 2011
Lee U., Gerla M., 2010
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.
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The specific characteristics and challenges of the vehicular communication networks
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Differences from MANET Challenges High energy reserve Large-scale networksHuge mass and size of the vehicle High level of mobility
Moving by the patterns Fragmentation of the network
High movement speed Changing topologyPowerful processing, storing, wireless equipment
Complex communication quality assurance
Data transmission quality requirements for different services support in vehicular communication networks
ServicePacket size (in
bytes) / required throughput (KB/s)
Packet loss influence
Periodicity of transmitted data
Tolerated latency (ms)
Road safety services Lane changing ~100 / 1 Average Event ~100Traffic light control ~100 / 1 Average Periodic ~100Warnings about dangers ~100 / 1 High Event ~100
Warnings on road conditions ~100 / 1 Average Periodic ~100
Multimedia servicesIPTV ~1300 / 500 Average Periodic <200VOIP ~100 / 64 Average Periodic <150Video/audio files exchange As high as possible High Periodic -
Games As high as possible High Periodic -5
Simulation environment• The experiments were carried out in the simulation
environment NCTUns 6.0.• 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 repeated simulation results.
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Experimental scenario
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Parameter ValueSimulation time 60 sPhysical layer protocol 802.11bNumber of nodes from 10 to 100Nodes mobility model Random, highwayChannel frequency 2,4 GHzRouting protocol AODV
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Experimental Results
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1 5 9 13 17 21 25 29 33 37 41 45 49 53 570
50
100
150
200
250
300
350
400
10 auto
30 auto
50 auto
100 auto
Time, s
Trou
ghpu
t in
the
rece
iver
nod
e,
KB/s
Data download rate dependence from time with a different number of vehicles in the network
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Experimental Results
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The average data downlink and uplink throughput with a different number of vehicles
10 auto 20 auto 30 auto 40 auto 50 auto 75 auto 100 auto0
100
200
300
400
500
600
Number of nodes
Data
trou
ghpu
t, KB
/s
Sender node
Receiver node
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Experimental Results
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Collisions rate dependence on receiver and sender nodes with a different number of vehicles
10 auto 20 auto 30 auto 40 auto 50 auto 75 auto 100 auto0
2000400060008000
10000120001400016000
Number of nodes
Num
ber o
f col
lisio
ns
Sender node
Receivernode
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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.
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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.
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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.
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Thank You for
Your attention!