Vehicular ad hoc Networks
Eugenio Giordano
Università di Bologna - DEIS
Vehicular Network – Simulation Results
Delivery Ratio
0.8
0.6
0.4
0.2
0
1
2
3
4
5
6
7
8
9
Percentage of connected nodes
Transim
Corsim
Random Waypoint
Mobility Study
•The mobility model affects the
plausibility of the simulation results
•Relevant metrics are node density
and inter-contact time
Infrastructure Benefits
•Flat network gets easily congested
•Hybrid scheme improves
performance
Infrastructure Benefits
Delivery Ratio
Mobility Comparison
1
0.8
0.6
0.4
0.2
0
1
2
3
4
5
6
7
8
9
Percentage of Communicating
Nodes
Flat Network
Hybrid scheme with APs
Campus Vehicular Testbed at UCLA – C-VeT
Will provide:
• A platform to support car-to-car experiments in various traffic conditions and mobility patterns
• A shared virtualized environment to test new protocols and applications
• Remote access to C-VeT through web interface
•Reliable channel to constantly
monitor the network
•Remote access to the mobile
nodes
Mesh Network Infrastructure
Campus Demo: connectivity
via OLSR
•Extend connectivity
•Provide Internet Access
•Constantly monitor:
• Car Position
• Network Connectivity
100 MB File 1 Source
Real Experiment: P2P file sharing
•Fixed Nodes placed at 4 corners
of Eng IV Building at UCLA
•2 Cars revolve around the
building
•Each node is aquipped with a
802.11g MIMO card and running
OLSR
•All Nodes download a 100MB
file from 1 fixed node
Microsoft Summer School
2008
4.5
Average Dpownload Speed [Mbps]
Control Channel – Coverage
Test
4
3.5
3
2.5
2
1.5
1
0.5
0
Fixed Node
Mobile Node