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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
Authors:
PhD student M. Kurmis1, [email protected]
Prof. D. Dzemydiene2, [email protected]
Prof. A. Andziulis3, [email protected]
Baltic DB & IS 2012
July 8-11, 2012, Vilnius, Lithuania
Vehicular Communication
Networks and Their Architecture
CAR 2 CAR Communication Consortium, 2011
Baltic DB & IS 2012
Lee U., Gerla M., 2010
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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
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The specific characteristics and challenges
of the vehicular communication networks
Differences from MANET
Challenges
High energy reserve
Large-scale networks
Huge mass and size of the
High level of mobility
vehicle
Fragmentation of the
Moving by the patterns
network
High movement speed
Changing topology
Powerful processing,
Complex communication
storing, wireless
quality assurance
equipment
Baltic DB & IS 2012
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Data transmission quality requirements for different
services support in vehicular communication networks
Service
Packet size (in
bytes) / required
throughput (KB/s)
Packet loss
influence
Periodicity of
transmitted data
Tolerated
latency (ms)
Road safety services
~100 / 1
Average
Event
~100
~100 / 1
Average
Periodic
~100
~100 / 1
High
Event
~100
~100 / 1
Average
Periodic
~100
Average
Average
Periodic
Periodic
<200
<150
Video/audio files
As high as possible
exchange
High
Periodic
-
As high as possible
High
Periodic
-
Lane changing
Traffic light
control
Warnings about
dangers
Warnings on
road conditions
Multimedia services
IPTV
VOIP
Games
~1300 / 500
~100 / 64
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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.
Baltic DB & IS 2012
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Experimental scenario
Parameter
Simulation time
Physical layer protocol
Number of nodes
Nodes mobility model
Channel frequency
Routing protocol
Value
60 s
802.11b
from 10 to 100
Random, highway
2,4 GHz
AODV
Baltic DB & IS 2012
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Troughput in the receiver node,
KB/s
Experimental Results
400
10 auto
350
300
30 auto
250
200
50 auto
150
100
100 auto
50
0
1
6
11
16
21
26
31 36
Time, s
41
46
51
56
Data download rate dependence from time with a
different number of vehicles in the network
Baltic DB & IS 2012
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Experimental Results
Data troughput, KB/s
600
500
400
Sender node
300
200
Receiver node
100
0
10 auto
20 auto
30 auto
40 auto
50 auto
75 auto 100 auto
Number of nodes
The average data downlink and uplink throughput
with a different number of vehicles
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Experimental Results
Number of collisions
16000
Sender
node
14000
12000
Receiver
node
10000
8000
6000
4000
2000
0
10 auto
20 auto
30 auto 40 auto 50 auto
Number of nodes
75 auto 100 auto
Collisions rate dependence on receiver and sender
nodes with a different number of vehicles
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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!