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Indoor Location Inference based on mobile network

Indoor Location Inference based on mobile network. Term project proposal – 1 조 20020034 권요셉 , 20020133 김태욱 5 조 20020021 고우균 , 20020124 김진우. Contents. Motivation Project Scenario Technical Problem Detailed Methodology Expected Result Issue Reference. Motivation.

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Indoor Location Inference based on mobile network

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  1. Indoor Location Inference based on mobile network Term project proposal – 1조 20020034 권요셉, 20020133 김태욱 5조 20020021 고우균, 20020124 김진우

  2. Contents • Motivation • Project Scenario • Technical Problem • Detailed Methodology • Expected Result • Issue • Reference

  3. Motivation • Wireless 환경이 차츰 대중화 되고 있으므로, GPS로 위치 추적이 되지 않는 건물 안에서, wireless LAN을 사용할 수 있는 mobile device의 location을 알아내고자 한다.

  4. AP1 AP2 Where isMYO? MYO AP3 JINU …calculating… MYO is there!! Project Scenario

  5. Technical Problem • How to measure the distance between AP and mobile device? • signal의 strength의 비 또는 packet의 arrival time으로 구한다. • 모바일 장치(혹은 AP)간의 간섭 현상으로 인해 오차가 발생할 수 있다.

  6. Detailed Methodology(1/2) • 필요 장비 • Laptop(Averatec) 4대 • Laptop(Averatec) 3대를 랜 케이블로 연결(wired) • 실험 장소 • 기숙사와 같이 다른 AP가 잡히지 않는 곳 • 간섭 현상을 없애기 위해 • 실험 • Signal Strength측정(wireless extension API) • 패킷의 TOA 측정 • AP의 MAC address identify • Location의 정확도 측정

  7. AP1 AP2 AP3 Laptop -averatec- measure Detailed Methodology(2/2)

  8. Expected result • Signal strength measurement로 distance를 파악한다(RADAR). • Ad-hoc 모드에서도 distance measurement. • Signal Strength로 알아낼 수 있는 거리의 오차는 2m~3m 정도가 될 것이다. • Mobile device의 이동 방향이나 속도 등도 파악 가능하다.

  9. Issue • Distance 측정 방법에서 • TOA vs signal strength • Ad-hoc vs Infrastructure

  10. Reference • P.Bahl, V. Pdmnabhan, “RADAR: An In-building RF-based User Location and Tracking System”, In Proc. IEEE INFOCOM, March 2000. • P. Bahl, V. N. Padmanabhan, and A. Balachandran, Enhancements to the RADAR User Location and Tracking System, Microsoft Research Technical Report: MSR-TR-00-12, February 2000 • S. Capkun, M. Hamdi, J.P. Hubaux, GPS-Free Positioning in Mobile ad-hoc Networks, In Proceedings of Hawaii Int. Conf. on System Sciences (HICSS), January 2001 • John Krumm and Eric Horvitz, “LOCADIO: Inferring Motion and Location from Wi-Fi Signal Strengths” Microsoft Research, Microsoft Corporation , One Microsoft Way , Redmond, WA USA ,Proceedings of Mobiquitous 2004, First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, pp. 4-14. August 22-26, 2004, Boston, MA, USA

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