2. Efficient Sensingin wireless and mobile systems BhaskarKrishnamachari Associate Professor Director, Autonomous Networks Research Group University of Southern California

4. Efficient processing of sensor data

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

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