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LUE CONNECT

LUE CONNECT. - Priyanka , Madhurima. IDEA of WIRELESS LEASH. Your devices go…. Wherever you go!!. Project Goal. Using Visual Tags to Bypass Bluetooth Device Discovery - Priyanka. Bluetooth Tracking without Discoverability- Madhurima.

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LUE CONNECT

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  1. LUE CONNECT -Priyanka, Madhurima

  2. IDEA of WIRELESS LEASH Your devices go…. Wherever you go!!

  3. Project Goal

  4. Using Visual Tags to Bypass Bluetooth Device Discovery -Priyanka Bluetooth Tracking without Discoverability-Madhurima

  5. Location and Context Awareness LoCA ,2009 Tokyo, Japan BLUETOOTH TRACKING WITHOUT DISCOVERABILITY

  6. Aim: Indoor Location Tracking • Locate user in a building • Tracking of users in timescale • Tracking of Multiple Users • Easy to use. • Existing hardware.

  7. Existing work and proposed solution • WiFi: • High power demand • Set up and maintainance • Handset requires WiFi “ON” • Bluetooth (RSS, FingerPrint) • Beacons • Scan takes 10.24s • Privacy • Solution: • Track Bluetooth Device without making Discoverable • Contribution: • Faster Connection Setup and Monitoring

  8. Bluetooth Connection

  9. Bluetooth Connection Procedure

  10. Why Bluetooth Discovery takes so long? Inquiry scan A A A A A A A A A A A A A B B B B B B B B B B B B B A A A B B B 16 Channel B frequencies 16 Channel A frequencies B B B B B B B B B B B A A A A A A A A A A A A 256 times in 1 iteration 256 times in 1 iteration

  11. Paging A A A A A A A A A A A A A B B B B B B B B B B B B B A A A B B B Master 10.24ms Tscan <0,1.28, 2.56s> Twindow Slave 11.25ms

  12. Connection Monitoring • RSSI Received Signal Strength Indicator • Monitor rate can be 1Hz • Link Quality (LQ) • Require no extra data • Echo response time • Monitor Rate – 40ms • Requires more Battery Power 0 -14 RSSI 0 5 10 15 20 25 30 Distance(m)

  13. Power Consumption

  14. Power Consumption

  15. Conclusion

  16. Using Visual Tags to Bypass Bluetooth Device Discovery By D. Scott, R. Sharp, A. Madhavapeddy, E. Upton - ACM SIGMOBILE Mobile Computing and Communications Review, 2005. PriyankaBagade

  17. Standard Bluetooth Device Discovery Model • Inquiry – takes 10.43s to complete in error free environment BD_ADDR BD_ADDR Bob John BD_ADDR BD_ADDR Martin Alice

  18. Comparison of Standard Bluetooth Device Discovery and Tag-Based Device Discovery Standard Bluetooth Device Discovery Tag-Based Device Discovery

  19. Visual Tag – System Architecture • Tag Reading 48 bits 15 bits 63 bits

  20. Download Music using Bluetooth 1 2 Download Music Track 2 3

  21. Tag-based Connection Establishment and Content Selection Camera Phone BD_ADDR, File ID HTTP Get Service Attribute Transaction Service Search Request Web Server HTTP Response

  22. Performance Evaluation • Speed

  23. Performance Evaluation(Contd.) • Usability – Number of button presses reduced Conventional system ~ 10 -> Device and item selection Visual tag system – just 1 !!! Capture the visual tag • Scalability – Performance does not get affected by increase in number of neighborhood Bluetooth devices and number of options provided by Mobile service • Security – Authentication and privacy are provided using digital signature and Bluetooth’s connection level encryption

  24. Usage Scenarios • Stock Querying

  25. Usage Scenarios(Contd.) • Use of Visual tags to quickly learn Server configuration

  26. Usage Scenarios(Contd.) • Active Visual Tags – Generated Dynamically from a PC display • Tested in marketing posters used for events in Europe

  27. Conclusion • Introduces new approach to maximize the potential of an already popular device (Bluetooth and Camera phones) PROS • Reduces Bluetooth Device Discovery time significantly • Provides convenient way to select a required service from number of mobile services • Easy to implement as relies entirely on commodity hardware CONS • Requires camera phone • Data capacity is very less as compared to RFID

  28. Summing it all… Bluetooth tracking without discoverability Synchronization for paging and proximity monitoring Visual Tags to Obtain BD_Address

  29. References • [1] D. Scott, R. Sharp, A. Madhavapeddy, E. Upton, “Using visual tags to bypass Bluetooth device discovery,” ACM SIGMOBILE Mobile Computing and Communications Review, v.9 n.1, January 2005  [doi>10.1145/1055959.1055965] http://portal.acm.org/citation.cfm?id=1055959.1055965 • [2] S. Hay and R. Harle, “Bluetooth tracking without discoverability,” LoCA 2009: Proceedings of the 4th International Symposium on Location and Context Awareness, 2009. http://www.springerlink.com/content/h6p4104852184rj8/

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