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Bhaskar Krishnamachari - Presentation at Emerging Communications Conference & Awards (eComm 2011)
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Bhaskar Krishnamachari - Presentation at Emerging Communications Conference & Awards (eComm 2011)

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Transcript

  • 1.
  • 2. Efficient Sensingin wireless and mobile systems
    BhaskarKrishnamachari
    Associate Professor
    Director, Autonomous Networks Research Group
    University of Southern California
  • 3. Overview
    Due to the unique challenges and limitations of wireless and mobile systems, sophisticated algorithms are needed for
    • Efficient activation of sensors
    • 4. Efficient processing of sensor data
    • 5. Efficient collection of sensor data
  • Mobile Sensing
    Limited Energy
  • 6. Case Study 1:
    Energy Efficient State Tracking
  • 7. Automated Activity Tracking
  • 8. Dynamic Sensor Management
    EEMSS – Energy Efficient Mobile Sensing System
    Work with Yi Wang, MuraliAnnavaram at USC + folks at Nokia Research, CMU
  • 9. Performance
  • 10. Wireless Sensor Networks
    Limited Energy
    Limited Bandwidth
    Unreliable Channels
  • 11. Case Study 2:
    Indoor Localization
    Work with KiranYedavalli, SuvilDeoraat USC
  • 12. Ecolocation
    WiFi
    GPS
  • 13.
  • 14.
  • 15. Basic idea: use the rank ordering of signals to different sensors to determine location.
  • 16. Ronald Tutor Hall, USC
  • 17. USC TutornetTestbed
  • 18. Evaluation
    Raw location estimates
  • 19. Evaluation
    Processed location track
  • 20. Case Study 3:Robust and High RateData Collection in WSN The Backpressure Collection Protocol (BCP)
  • 21. How BCP Works
    Basic Idea: Send packets to neighbor with highest positive gradient.
    Gradient = Queue Difference – Link Quality Metric
    Work with Scott Moeller, AvinashSridharan at USC
  • 22. BCP routes like water flows
  • 23. Throughput
    60% improvement over traditional routing
  • 24. External Interference
  • 25. Summary
    Progress in developing mobile and wireless sensing systems will critically depend on the design of sophisticated algorithms enabling them to operate efficiently.
  • 26. Thanks
    BhaskarKrishnamachari
    University of Southern California