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Vehicular Networks: @ UCLA

Vehicular Networks: @ UCLA. The Standard: DSRC / IEEE 802.11p. Car-Car communications at 5.9Ghz Derived from 802.11a three types of channels: Vehicle-Vehicle service , a Vehicle-Gateway service and a control broadcast channel . Ad hoc mode; and infrastructure mode

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Vehicular Networks: @ UCLA

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  1. Vehicular Networks: @ UCLA

  2. The Standard: DSRC / IEEE 802.11p • Car-Car communications at 5.9Ghz • Derived from 802.11a • three types of channels: Vehicle-Vehicle service, a Vehicle-Gateway service and a control broadcast channel . • Ad hoc mode; and infrastructure mode • 802.11p: IEEE Task Group for Car-Car communications G. Pau NSF Mobility Workshop @ Rutgers, `07

  3. Trace Driven Mobility • Synthetic: Fine grain vehicular traces are generated by using a microscopic traffic simulator (i.e. CORSIM, TRANSIMS, etc) • Issues: • Map details (Tiger Database, signals, buildings, etc) • Activities (why cars move?) • Amount of data (15 minutes = about 4GB) • Actual: Traces are collected from actual vehicle, and a model is inferred. • Issues: • Type of mobility • Generalization of the model G. Pau NSF Mobility Workshop @ Rutgers, `07

  4. What is next? • A Synthetic Mobility Model that is REALISTIC! • A density based Mobility model Integrated with TIGER/Naviteq: • validated through • Transims • Real measurements in several Italian Cities (Torino, Monza, etc) • Made available from September 1st at • http://www.vehicularlab.org/ G. Pau NSF Mobility Workshop @ Rutgers, `07

  5. C-VeTCampus - Vehicular Testbed http://www.vehicularlab.org/

  6. Project Goals • 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 • Allow: • Collection of mobility traces and network statistics • Experiments on a real vehicular network • Full experimental Flexibility but no control on Mobility, That is given. G. Pau NSF Mobility Workshop @ Rutgers, `07

  7. Hardware • Cappucino PC • GPS and other hardware similar to current • Few High precision GPS installed in the Testbed. G. Pau NSF Mobility Workshop @ Rutgers, `07

  8. Virtual Machine USER SPACE VM 2 RM API VIRTUAL NETWORK ADAPTER Transparent Access Virtual LAN Real Machine App. Logic VM 2 RM COMMUNICATION LAYER AUTHORIZATION LAYER Services API LOCAL DB GPS DRV MODEM DRV AdHoc IF Managed IF GPS HW RADIO MODEM 802.11 ADAPTER G. Pau NSF Mobility Workshop @ Rutgers, `07

  9. Contributions: • Cvet- Testbed Provides: • Full access to the Node (yes you can re-compile your kernel) • Mobility (10 Cars - 20 Bus) THANKS MARIO • Mobility Trace Collections • Emulation environment that exactly replicate the test-bed • Mobility Models: • MobiDense a Model that generates Synthetic traces very accourate. • Availabe at http://www.vehicularlab.org/ starting Sept 1st. • WE NEED 4 USERS starting SEPT 7. G. Pau NSF Mobility Workshop @ Rutgers, `07

  10. The C-VeT testbed

  11. The End Thank You

  12. Example: Portland, Oregon • Some statistics: • Cars: 16,000/3500 (tot/avg #) • Area: downtown Portland (3 x 7km) • Granularity 1sec • Microscopic traffic simulation • Data: US Bureau of Census • Maps: Tiger/Portland Transportation Authority G. Pau NSF Mobility Workshop @ Rutgers, `07

  13. Mobility Models: (Portland, Oregon) • Different Mobility Models on the same area. • Substantial differences in Connectivity! G. Pau NSF Mobility Workshop @ Rutgers, `07

  14. Actual Traces • No real actual traces publically available yet! • Available • Bus Aggregated Traces • Campus pedestrian traces (Crawdad) • Emergency Vehicle traces (available 2nd semester 07) G. Pau NSF Mobility Workshop @ Rutgers, `07

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