An Operational Design of Indoor Tracking System in the Environment of GSM Structure
[1]
Md. Ahsan Arif, Department of CSE, Asian University of Bangladesh, Dhaka, Bangladesh.
[2]
Ariful Hossain Muhammad Amimul Ahsan, IMS, Stuttgart University, Germany.
[3]
Md. Kamrul Hasan, Department of CCE, Patuakhali Science and Technology University, Dhaka, Bangladesh.
[4]
Chandni Bhattacharya, Dept. of Computer Science and Engineering, Dhaka University of Engineering and Technology, Dhaka, Bangladesh.
This paper presents an operational design of indoor tracking system in the environment of Global system for Mobile (GSM) structure with the method of Simple Point Matching (SPM) and Euclidean Distance Formula. The map of the structure involves of a regular grid of tiles that delivers the basis to identify the object through Finger Print Algorithm in Area Based Approach. The database lies of Radio Frequency Channel Number and its average receive signal strength (-dBm). The measurement of the wireless signal is accompanied from the concerned access point. The result gain from this tracking system can triumph high performance of current prediction on the location mobile unit. The maximum inclusive performance for the indoor positioning system about 88.09% of overall performance recorded.
Simple Point Matching (SM), Euclidian Distance Formula, Finger Print Algorithm and Global system for Mobile (GSM)
[1]
Hazas, M. Scott, J. and Krumm, J. Location-aware computing comes of age. Computer. 2004. 37(2) : 95 – 97
[2]
Otsason, V et al. Accurate GSM indoor localization. Ubicomp 2005. Heidelberg, Berlin. Springer-Verlag. 2005. 41-158
[3]
Hightower, J. and Borriello, G. Location systems for ubiquitous computing. Computer. 2001. 34(8) : 57 – 66
[4]
Kabalan, K.Y. and Mounsef, J.L. Mobile location in GSM using signal strength technique. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference. 2003. 1: 196 – 199
[5]
Stuckmann, P. The GSM Evolution : Mobile Packet Data Services. John Wiley & Sons. Chichester. 2003
[6]
Hasliza A Rahim @ Samsuddin. System for Automatic Measurement of Signal Level in GSM 900/1800 Channel with GPS Localization. Master of Electrical Engineering. Universiti Teknologi Malaysia. 2005
[7]
Rappaport, T. S. Wireless Communication Principle and Practice. 2nd edition. Upper Saddle River, NJ. Prentice Hall. 2002
[8]
Elnahrawy, E., Li, X. and Martin R. P. The limits of Localization Using Signal Strength: A Comparative Study. International Conference on Wireless Networks, communications and mobile computing. 2004. 406 – 414
[9]
Li, B. Wang, Y. Lee, H.K. Dempster, A. and Rizos, C. Method for yielding a database of location fingerprints in WLAN. Communications, IEE Proceedings. 2005. 152(5) :580 – 586
[10]
Kaemarungsi. K. and Krishnamurthy. P. Modeling of indoor positioning systems based on location fingerprinting. INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies. 2004. 2 : 1012 – 1022
