Indoor Location Using Wireless Sensor Networks Tim Porter
- Slides: 14
Indoor Location Using Wireless Sensor Networks Tim Porter Jeremy Witmer CS 522 Fall 2006 Semester Project 12/6/06 witmer-porter/wsn-location 1
Why realtime indoor location? • First responders • Building security 12/6/06 witmer-porter/wsn-location 2
Wireless SENSOR Networks • Self-forming mesh network • Micropower processor and radio • Highly configurable sensor capability 12/6/06 witmer-porter/wsn-location 3
Tiny. OS • nes. C • Structured, component-based language • Hardware access wrapped into components 12/6/06 witmer-porter/wsn-location 4
Hardware Diagram 12/6/06 witmer-porter/wsn-location 5
Motes 12/6/06 witmer-porter/wsn-location 6
Mote Software • Fixed/Mobile mote • Base mote 12/6/06 witmer-porter/wsn-location 7
Location Algorithm • Trilateration • Measurement ratio = signal strength/distance 12/6/06 witmer-porter/wsn-location 8
Location Software 12/6/06 witmer-porter/wsn-location 9
Location Software 12/6/06 witmer-porter/wsn-location 10
Results • Describe the testing environment • Locations found with error of approx. 5 inches in a network approx. 120 inches square • Concurrency issues • Algorithmic issues • High power drain 12/6/06 witmer-porter/wsn-location 11
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-location 12
Conclusions List your key contributions/points 12/6/06 witmer-porter/wsn-location 13
Questions? 12/6/06 witmer-porter/wsn-location 14