12/6/06 witmer-porter/wsn-location1 Indoor Location Using Wireless Sensor Networks Tim Porter Jeremy Witmer CS 522 Fall 2006 Semester Project.

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Presentation transcript:

12/6/06 witmer-porter/wsn-location1 Indoor Location Using Wireless Sensor Networks Tim Porter Jeremy Witmer CS 522 Fall 2006 Semester Project

12/6/06 witmer-porter/wsn-location2 Why realtime indoor location? First responders Building security

12/6/06 witmer-porter/wsn-location3 Wireless SENSOR Networks Self-forming mesh network Micropower processor and radio Highly configurable sensor capability

12/6/06 witmer-porter/wsn-location4 TinyOS nesC Structured, component-based language Hardware access wrapped into components

12/6/06 witmer-porter/wsn-location5 Hardware Diagram

12/6/06 witmer-porter/wsn-location6 Motes

12/6/06 witmer-porter/wsn-location7 Mote Software Fixed/Mobile mote Base mote

12/6/06 witmer-porter/wsn-location8 Location Algorithm Trilateration Measurement ratio = signal strength/distance

12/6/06 witmer-porter/wsn-location9 Location Software

12/6/06 witmer-porter/wsn-location10 Location Software

12/6/06 witmer-porter/wsn-location11 Results Test network approx. square, approx. 120 inches to a side Locations found with error of approx. 5 inches Concurrency issues Algorithmic issues High power drain

12/6/06 witmer-porter/wsn-location12 Further Research Attenuated signal testing Updated mote code Updated location software Querying/remote control of motes Extension to 3 dimensions

12/6/06 witmer-porter/wsn-location13 Conclusions/Lessons Learned Proof of feasibility of signal-only location Requires further research on mote code and algorithm. Definite potential for various applications

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