1. Smart Occupancy Monitoring System (SOMS) Using Motes Siva Desaraju CS603, SummerII, 03 Western Michigan University

2. Introduction (SOMS) –an application to determine the occupancy using a network of tiny devices from a central system –user-friendly –Scalable (Can be embedded in a browser as an applet)

3. Design (SOMS) Target Room Intermediate Mote Base Station Every building/every floor will have a base station connected via a network of motes

4. Features (SOMS) –Get occupancy of a room –Can be used to maintain health statistics of a network –Individual factors like light, sound/noise, temperature can be monitored –Event based/Triggers – Fire Alarm

5. Components (SOMS) Java (Graphical User Interface) TinyDB (Communication among motes/including base station)

6. User Interface (SOMS)

7. Challenges Calibrating data Packets get lost/so needed extra sampling

8. Assumptions Occupancy affects atleast one of the three sensing factors

9. Conclusion/Results Networked Motes/Base Station Occupancy determined by multiple factors and hence increased accuracy Accuracy of our results – around 80% More motes/More accurate results

10. Future Work Stop Query Resend Query Reset Motes Raw Data Reliability Multiple Sensing Factors User Interface

11. Progress Existing Issues Gathering Information TinyOS from CVS Integrating Old code to new Version