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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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12/6/06 witmer-porter/wsn-location2 Why realtime indoor location? First responders Building security
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12/6/06 witmer-porter/wsn-location3 Wireless SENSOR Networks Self-forming mesh network Micropower processor and radio Highly configurable sensor capability
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12/6/06 witmer-porter/wsn-location4 TinyOS nesC Structured, component-based language Hardware access wrapped into components
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12/6/06 witmer-porter/wsn-location5 Hardware Diagram
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12/6/06 witmer-porter/wsn-location6 Motes
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12/6/06 witmer-porter/wsn-location7 Mote Software Fixed/Mobile mote Base mote
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12/6/06 witmer-porter/wsn-location8 Location Algorithm Trilateration Measurement ratio = signal strength/distance
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12/6/06 witmer-porter/wsn-location9 Location Software
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12/6/06 witmer-porter/wsn-location10 Location Software
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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
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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
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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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