Twitter in Disaster Mode - Extremecom 2011
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Twitter in Disaster Mode - Extremecom 2011

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  • Motivation for Twitter and for Android.

Twitter in Disaster Mode - Extremecom 2011 Twitter in Disaster Mode - Extremecom 2011 Presentation Transcript

  • Twitter in Disaster Mode: Opportunistic Communication and Distribution of Sensor Data in Emergencies Theus Hossmann Franck Legendre Paolo Carta ETH Zurich, Switzerland Christian Rohner Per Gunningberg Uppsala Universitet, Sweden
  • [email_address] Source: XKCD (http://xkcd.com/723/)
  • [email_address] Source: Twitter Blog (http://blog.twitter.com/2011/06/global-pulse.html) View slide
  • Network Outage in Japan [email_address] Operator # inoperative BS NTT DoCoMo 6720 KDDI 3800 Softbank 3786 View slide
  • Your Smart Phone, the Emergency Kit
    • Temporary GSM network
    • Wireless mesh network
    • Satellite communication
    • Opportunistic Communication
      • DTN2
      • Haggle
      • PodNet
    [email_address] ✗ ✓ Goal: Enable disaster victims to tweet instantaneously
    • Deployment, configuration, etc.
    • Requires experts
    • > 1-2 days
    • No expert skills required
    • Instantly ready
  • [email_address] Twimight
    • Simple yet flexible
    • Wide spread (200M users)
    • Wide spread
    • Developer friendly
    • Disaster Mode (user enabled with a simple settings check-box)
    • ✓ Opportunistic Communication
    • ✓ Spreading of sensor data
    • Open source (Google Code)
  • Opportunistic Spreading of Tweets
    • Bluetooth communication
      • Requires pairing
      • Scanning (2min ± 20sec)
    • Power saving heuristic
      • Reduced scanning interval at battery levels < 50%
      • No more scanning at levels below 30%
    • Epidemic spreading (flooding)
      • Small data volumes
      • FIFO buffer
    • Publish tweets once connectivity is restored
    [email_address]
  • Tweeting of Sensor Data
    • Twimight plugin: Accessing disaster tweet DB
    • User activity detection
      • Monitoring acceleration sensor
      • Classify: {Still | walking | running}
      • Nearest Neighbor classification
    • Environment detection
      • Monitoring microphone
      • Classify: {Silence | Speech | Music}
      • Decision tree classification
    • Posting tweet on activity change
    [email_address] Das et al. “ Detecting User Activities using the Accelerometer on Android Smartphones“ Lu et al. “ SoundSense: Scalable Sound Sensing for People-Centric Applications on Mobile Phones“
  • What’s next?
    • Security (in progress)
      • Asymmetric crypto for signing (tweets) and encrypting (DM)
      • “ Pragmatic” hybrid approach: Key distribution before disaster
      • Twitter Disaster Server
    • Smart tweet delivery
      • Contact Graph based routing for Direct Messages
      • Interest matching for tweets
    • In parallel
      • Improvements in User Interface
      • Advanced Plugin System: Browse and install plugins within Twimight
      • Plugins, plugins, plugins…
    [email_address]
  • Get Involved
    • Twimight: http://code.google.com/p/twimight
    • Sensor: http://code.google.com/p/android-sensor-twitteth/
    [email_address]
  • Video [email_address]
  • Thank You For Installing & Using Twimight  [email_address]