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V2V applications: End to end or broadcast-based? Panel VANET 2007, Sept 10, 2007. Mario Gerla Computer Science Dept, UCLA www.cs.ucla.edu. End to end vs broadcast based. VANET E2E networking (without infrastructure) extremely challenging: An urban VANET may have over 100,000 nodes

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V2V applications: End to end or broadcast-based? Panel VANET 2007, Sept 10, 2007

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V2v applications end to end or broadcast based panel vanet 2007 sept 10 2007 l.jpg

V2V applications:End to end or broadcast-based?Panel VANET 2007, Sept 10, 2007

Mario Gerla

Computer Science Dept, UCLA

www.cs.ucla.edu


End to end vs broadcast based l.jpg

End to end vs broadcast based

  • VANET E2E networking (without infrastructure) extremely challenging:

    • An urban VANET may have over 100,000 nodes

    • Nodes move in unpredictable ways

    • End to end routing is HARD

      • AODV and OLSR do not scale

      • Geo-routing can get trapped in “dead ends”

      • Geo Location Service not very scalable

    • TCP over several hops “in motion” is a nightmare!

    • Intermittent connectivity in most cases

  • So, end to end applications (a la mesh network) hard to deploy

  • However….


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Where are the E2E applications?

  • Very few urban scenarios/applicatios require “true” E2E networking:

    • Emergency, disaster recovery (eg, earthquake, hostile attack)

    • Urban warfare

  • Generally, these are situations where the Infrastructure has failed


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Vehicular Grid as Emergency Net

Power

Blackout

Power

Blackout


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Broadcast based applications

  • The most popular VANET applications are “broadcast” based

    • Safe navigation - neighborhood broadcast

    • Content sharing - P2P proximity routing

    • Distributed urban sensing - Epidemic dissemination


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Car to Car broadcast for Safe Driving

Vehicle type: Cadillac XLRCurb weight: 3,547 lbsSpeed: 65 mphAcceleration: - 5m/sec^2Coefficient of friction: .65Driver Attention: YesEtc.

Vehicle type: Cadillac XLRCurb weight: 3,547 lbsSpeed: 75 mphAcceleration: + 20m/sec^2Coefficient of friction: .65Driver Attention: YesEtc.

Alert Status: None

Alert Status: None

Alert Status: Inattentive Driver on Right

Alert Status: Slowing vehicle ahead

Alert Status: Passing vehicle on left

Vehicle type: Cadillac XLRCurb weight: 3,547 lbsSpeed: 45 mphAcceleration: - 20m/sec^2Coefficient of friction: .65Driver Attention: NoEtc.

Vehicle type: Cadillac XLRCurb weight: 3,547 lbsSpeed: 75 mphAcceleration: + 10m/sec^2Coefficient of friction: .65Driver Attention: YesEtc.

Alert Status: Passing Vehicle on left


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Co-operative Download: Car Torrent

Internet

Vehicle-Vehicle Communication

Exchanging Pieces of File en route


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Accident Scenario: storage and retrieval

  • Designated Cars (eg, busses, taxicabs, UPS, police agents, etc):

    • Continuously collect images on the street (store data locally)

    • Process the data and detectan event

    • Classify the event asMeta-data(Type, Option, Location, Vehicle ID)

    • Epidemically disseminate -> distributed index

  • Police retrieve data from designated cars

Meta-data : Img, -. (10,10), V10


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Epidemic Diffusion- Idea: Mobility-Assist Meta-Data Diffusion


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Keep “relaying” its meta-data to neighbors

Epidemic Diffusion- Idea: Mobility-Assist Meta-Data Diffusion

1) “periodically” Relay (Broadcast) its Event to Neighbors

2) Listen and store other’s relayed events into one’s storage


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Meta-Data Rep

Meta-Data Req

Epidemic Diffusion- Idea: Mobility-Assist Meta-Data Harvesting

  • Agent (Police) harvestsMeta-Data from its neighbors

  • Nodes return all the meta-datathey have collected so far


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The Future

  • Future VANET applications will be broadcast, proximity routing based

  • However, proximity and broadcast only removes the E2E complexity

  • Enormous challenges still ahead:

  • Navigation safety

    • “liability” stigma

    • strict delay constraints

  • Location aware content, Infotainment

    • Driver distraction -> more accidents?

    • Virus scare

  • Urban Sensing

    • Business model not clear (who makes money?)

    • Privacy issues


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Thank You


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