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Vehicle GENI Testbed: Challenges and Experiments WINLAB, March27 2007. Break out Moderator, Mario Gerla UCLA. Vehicle/Mobile/DTN Break out session. Participants Mario Gerla, gerla@cs.ucla.edu (moderator) Liviu Iftode iftode@cs.rutgers.edu Marco Gruteser gruteser@winlab.rutgers.edu

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Vehicle GENI Testbed: Challenges and Experiments WINLAB, March27 2007


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vehicle geni testbed challenges and experiments winlab march27 2007

Vehicle GENI Testbed: Challenges and ExperimentsWINLAB, March27 2007

Break out Moderator, Mario Gerla

UCLA

vehicle mobile dtn break out session
Vehicle/Mobile/DTN Break out session
  • Participants
  • Mario Gerla, gerla@cs.ucla.edu (moderator)
  • Liviu Iftode iftode@cs.rutgers.edu
  • Marco Gruteser gruteser@winlab.rutgers.edu
  • Brian Levine brian@cs.umass.edu
  • K. Ramachandran kishore@winlab.rutgers.edu
why vehicles communications
Why Vehicles Communications?
  • Traditional Internet access:
    • Web access; File transfers; telcons; Messaging
    • Opportunistic extension of the internet
  • Content/entertainment delivery/sharing:
    • Music, news, video, TV, etc
    • Local ads, tourist information, games, etc
  • Safe navigation:
    • Forward Collision Warning, Intersection Collision Warning, Emergency recovery
  • Environment sensing/monitoring:
    • Traffic monitoring, Pollution probing
    • Pervasive urban surveillance
support from the internet functions and challenges
Support from the Internet: Functions and Challenges
  • Mobility support
    • Location tracking; Geo Location Service
    • User profiling
  • Vehicle data traffic/routing management
    • Least Cost Routing: vehicle grid or infrastructure
    • Inter AP/cell connectivity awareness
    • Congestion monitoring/protection
    • Path Quality estimation
  • Intermittent vehicle connectivity support (DTN)
    • Destination temporarily disconnected;
    • Internet stores/forwards (Cache Forward Net) ;
  • Security authentication (PKI) support
    • Certificate authority; Tracking trouble makers across the continent..
  • Vehicle network monitoring/management
    • When Infrastructure fails (eg. Katrina) switchover to Vehicle Grid standalone operation
geni experiment examples
GENI Experiment Examples
  • Geo Location Service
  • Infrastructure Routing Support
  • Centralized Security
  • Applications:
    • Car torrent
    • Urban sensing
    • Emergency Urban Evacuation
supporting geo location service
Supporting Geo Location Service
  • Why Geo-routing?
    • Most scalable (no state needed in routers)
    • GPS readily available; local coordinates used in blind areas (tunnels, parking lots, urban canyons)
  • Geo Location Service
      • First option: Infrastructure overlay support
      • Distributed implementation backup (eg GHT)
      • Other option: transparent Internet geo route support in virtualized router
infrastructure based overlay location service ols
Infrastructure based Overlay Location Service (OLS)

Vehicular ID hashed into overlay DHT

Mapping: Vehicular ID <=> location

georouting through the infrastructure
Georouting through the infrastructure
  • IPv6 addressing (xy coordinates in header extension)
  • How to make the system resilient to failures/attacks?
    • If access points fail, use GLS implemented in grid
infrastructure routing support
Infrastructure routing support

The trade off:

grid short paths vs Internet fast wires

  • Baseline:Shortest path routing
    • Short connections should go grid
    • Packets to remote destinations on infrastructure
  • Enhanced:Access Points and Overlay assist in the decision
    • Propagation of congestion info from Overlay to wireless using 3 hop beaconing (say) every second
appl 1 co operative download car torrent
Appl #1: Co-operative Download-Car Torrent

Internet

Vehicle-Vehicle Communication

Exchanging Pieces of File Later

appl 2 accident scenario cont
Appl #2 Accident Scenario (cont)
  • 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)
    • Post it on distributed index -> Epidemic Dissemination
  • Police retrieve data from designated cars

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

appl 3 evacuation scenario
Appl#3 Evacuation Scenario
  • Dense urban area evacuated because of attack or natural disaster
  • Infrastructure obliterated - must rely on Car to Car communications
  • Evacuation of vehicles and people
    • Static evacuation plans will not work in hostile attacks
    • Distributed sensing of damage and road availability
    • Distributed, collaborative evacuation strategy computation
geni vehicle testbed experiments
GENI Vehicle Testbed - Experiments

Premise: testbed relies on GENI Infrastructure

GENI relevant Experiments (a first cut):

  • Mobility support:
    • Mobility support depends on addressing/routing used
    • Geo Location service
    • Mobile OSPF
  • Routing support
  • Exploiting different radio media (802.11p,WiFi, Cellular, WiMAX, etc)
  • Density/ intermittence monitoring (from AP’s)
  • Congestion monitoring
  • Security support - how costly, how fast..
  • End to end applications involving the Internet
    • Entertainment; (eg, content sharing) games; web access
geni vehicle testbed requirements
GENI Vehicle Testbed - requirements

How many vehicles:

    • A few suffice for propagation, geo location service;
    • Larger numbers for epidemic dissemination; DTN
    • GENI program will provide 100’s nodes
    • Added scalability using simulation/emulation
  • Vehicle fleet deployment:
    • Scheduled Public transport; eg DieselNet (predictable, to some extent)
    • Unscheduled public transport; eg CarTel (taxicabs); UPS; Campus facility vehicles - Incentives??
    • Customized experiments (can specify the route)
    • Augment the above with stationary nodes
    • Access to Infrastructure: open access AP’s or coexisting mesh testbed
geni vehicle testbed requirements cont
GENI Vehicle Testbed - requirements (cont)
  • Various applications/mobility patterns
    • Combination of small scale testbed experiments + simulation
    • Example: content sharing - must use realistic motion traffic model;
    • same for epidemic dissemination to handle DTN situations
  • Third party participation:
    • Remote access through web interface
    • Remote testbed interconnection
  • Experiments using multiple providers
    • Necessary for experiment control (eg GPRS, EVDO, etc)
  • Experiment set up/Measurement collection
    • Control will depend on type of vehicle fleet
  • Virtualization/slicing
    • To support & compare multiple protocols/algorithms
c v e t campus vehicular testbed

C-VeTCampus Vehicular Testbed

E. Giordano, A. Ghosh,

G. Marfia, S. Ho, J.S. Park, PhD

System Design: Giovanni Pau, PhD

Advisor: Mario Gerla, PhD

vehicle fleet
Vehicle Fleet
  • We plan to install our node equipment in:
    • A dozen private cars: customized experiments
    • Up to 50 Campus operated vehicles (including shuttles and facility management trucks).
      • “on a schedule” and “random” mobility; cross campus via 10 AP’s
    • Up to 50 Communing Vans
      • Measure freeway motion patterns (only tracking equipment installed)
the u box node
The U-Box Node:
  • In the final deployment:
    • Industrial PC (Linux OS)
    • 2 x WLAN Interfaces
    • 1 Software Defined Radio (FPGA based) Interface
    • 1 Control Channel
    • 1 GPS
  • Current proof of concept:
    • 1 Dell Latitude Laptop (Windows)
    • 1 WLAN Interface
    • 1 GPS
    • OLSR Used for the Demo