由於都會區無線網路的建置漸趨完整，使用者端擁有無線上網設備的比例也漸漸增加，配合infrastructure的應用反而為現在所最缺乏的一環。本計劃將專注於博物館的應用環境，結合館內已建置的數位典藏內容及外部和館藏相關的數位內容，建構一套無線情境感知個人化數位導覽系統的雛型。系統最主要的目的在於讓參觀博物館的民眾能夠在一趟旅途中，利用個人化的導覽系統即可獲取更豐富且適性化的資訊，提升參觀者對博物館服務的满意度。參觀民眾在無線的環境下，藉由情境感知系統及可定位的手持無線裝置的支援，由館內數位導覽系統即時地取得適當或參觀者個人所想要的資訊，並透過此使用者端之無線裝置聆聽、閱覽及記錄展覽的文物資訊。

By the progressing of the computer technology, we can exploit modern, smart and cheap devices to create a context-aware and intelligent environment to mobile users. The location of mobile users, a kind of active information, is most important in the context-aware application. In order to implement the locating services, a lot of indoor positing technologies have been developed over thirty years. We use IEEE 802.11 b/g to detect the user’s position because the 802.11 b/g product is common in our living and it doesn’t require buy extra hardware.
In this paper, we propose 802.11b to locate the position of objects and people. The access points are installed in the underground and configured to use different channel number. We collect received signal strength information (RSSI) by Asus notebook, running Window XP. The notebook is equipped with a Asus Wireless LAN Card. In the off-line phase, we collect RSSI for each position at the different times of the day and input RSSI into the database. In the real-time phase, one person walked by and his/her PDA can get RSSI from each AP. The system can compare the sample value and the database or use location-determined algorithm to compute the location of the user.

1. D. P Smailagic, J. Siewiorek, D. A. Kogan, and Y. Wang. “Location Sensing and Privacy in a Context Aware Computing Environment” Pervasive Computing, 2001
2. J. H. Reed, K. J. Krizman, B. D. Woerner, and T. S. Rappaport, “An overview of the challenges and progress in meeting the E-911 requirement for location service,” IEEE Communication. Mag., vol. 36, pp. 30–37, Apr. 1998
3. J. Hightowar and G, Borilello. "Location systems for Ubiquitous computing," IEEE Computer. vol. 34. no. 8. pp. 57-56. Aug 2001
4. J. Hightower, and G. Borriello, “Location Systems for Ubiquitous Computing,” IEEE Computer, vol. 34, no. 8, pp. 57–66, Aug. 2001.
5. M. Ladd, K. E. Bekris, G. Marceau, A. Rudys, L. E. Kavraki, andD. S.Wallach, “Robotics-based location sensing using wireless Ethernet,” Tech. Rep. TR02-393, Department of Computer Science, Rice University, 2002
6. M. Youssef and A. Agrawala. On the Optimality of WLAN Location Determination Systems. Technical Report UMIACS-TR 2003-29 and CS-TR 4459, University of Maryland, College Park, March 2003.
7. M. Youssef, and K. Agrawala, "Location-Clustering Techniques for Energy-Efficient WLAN Location Determination Systems," International Journal of Computers and Applications, 2005
8. M. Youssef, and K. Agrawala, "Towards an Optimal Strategy For WLAN Location Determination Systems," International Journal of Modeling and Simulation, 2005.
9. P. Bahl and V. N. Padmanabhan, “RADAR: An in-building RF-based user location and tracking system,” in Proceedings of IEEE INFOCOM 2000, pp. 775–784, Mar. 2000.
10. P. Bahl and V. N. Padmanabhan, and Balachandran, A., “Enhancements to the RADAR User Location and Tracking System,” Microsoft Research Technical Report: MSR-TR-00-12, February 2000
11. P. Castro, “A Probabilistic Location Service for Wireless Network Environments (Nibble),” Ubiquitous Computing 2001, Atlanta, Georgia, September 2001
12. P. Castro, P. Chiu, T. Kremenek, and R. Muntz, “A Probabilistic Room Location Service for Wireless Networked Environments,” in Proc. Ubiquitous Computing, 2001.
13. P. Castro, P. Chiu, T. Kremenek, and R. Muntz. “A Probabilistic Location Service for Wireless Network Environments” Ubiquitous Computing 2001, September 2001
14. P. Enge and P. Misra. Special issue on GPS: The Global Positioning System. Proceedings of the IEEE, pages 3– 172, January 1999.
15. P. Enge, and P. Misra, “Special issue on GPS: The Global Positioning System,” Proc. of the IEEE, pp. 3-172, Jan. 1999.
16. Pandya, D., Jain, R., and Lupu, E., “Indoor Location Using Multiple Wireless Technologies,” IEEE PIMRC, Beijing, China, September 2003
17. R.Want, A. Hopper, V. Falcao, and J. Gibbons, “The active badge location system,” ACM Transaction on Information Systems, vol. 10, pp. 91–102, Jan. 1992.
18. T. Roos, P. Myllym¨aki, and H. Tirri, “A statistical modeling approach tolocation estimation,” IEEE Transactions on Mobile Computing, vol. 1, Jan. 2002.
19. T. Roos, P. Myllym¨aki, H. Tirri, P. Misikangas, and J. Siev¨anen, “A probabilistic approach to WLAN user location estimation,” International Journal of Wireless Information Networks, v