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Keywords : location sensing technology, Received Signal Strength Indication, deterministic phase, iterative trilateration, probabilistic phase, smoothing algorithm, dynamic fluctuation, real-time position.
Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 1, Issue 2, Pages 534-548, DOI: https://doi.org/10.21307/ijssis-2017-306
License : (CC BY-NC-ND 4.0)
Published Online: 13-December-2017
Existing researches on location tracking focus either entirely on indoor or entirely on outdoor by using different devices and techniques. Several solutions have been proposed to adopt a single location sensing technology that fits in both situations. This paper aims to track a user position in both indoor and outdoor environments by using a single wireless device with minimal tracking error. RSSI (Received Signal Strength Indication) technique together with enhancement algorithms is proposed to cater this solution. The proposed RSSI-based tracking technique is divided into two main phases, namely the calibration of RSSI coefficients (deterministic phase) and the distance along with position estimation of user location by iterative trilateration (probabilistic phase). A low complexity RSSI smoothing algorithm is implemented to minimize the dynamic fluctuation of radio signal received from each reference node when the target node is moving. Experiment measurements are carried out to analyze the sensitivity of RSSI. The results reveal the feasibility of these algorithms in designing a more accurate real-time position monitoring system.
 N. Priyantha, A. Chakaborty, H. Balakrishnan, “The Cricket Location-support System”, ACM Mobicom Conference, Boston, MA, August 2000.
 K. Lorincz, and M. Welsh, "MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking", In Proceedings of the International Workshop on Location- and Context-Awareness (LoCA 2005) at Pervasive 2005, Oberpfaffenhofen, Germany, May 2005.  Stoleru, R.; Tian He; Stankovic, J.A., "Walking GPS: a practical solution for localization in manually deployed wireless sensor networks," Local Computer Networks, 2004. 29th Annual IEEE International Conference on, vol., no.pp. 480- 489, 16-18 Nov. 2004.
 CC2431 Development Kit User Manual, http://www.chipcon.com/files /CC2431DK%20Development%20Kit%20User%20Manual_1_3.pdfhipcon.com
 F. Lassabe, P. Canalda, P. Chatonnay, F. Spies, “ A Friis-based Calibrated Model for WiFi Terminals Positioning”, In Proceedings of the Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Network, 2005.
 Cesare Alippi, Giovanni Vanini, “A RSSI-based and Calibrated Localization Technique for Wireless Sensor Networks”, In Proceeding of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW’06),2006.
 Tereus Scott, Kui Wu, Daniel Hoffman, “Radio Propagation Patterns in Wireless Sensor Networks: New Experimental Resutls”, In Proceeding of the 2006 international conference on Communications and mobile computing IWCMC '06, July 2006.
 Saad Biaz, Yiming Ji, Bing Qi, Shaoen Wu, “Dynamic Signal Strength Estimates for Indoor Wireless Communications”, In Proceeding of 2005 International Conference on Wireless Communications, Networking and Mobile Computing, pp.602-605, Sept 2005.
 TIP Data Sheet, http://www.maxfor.co.kr
 Chipcon: CC2420 802.15.4 compliant radio, http://www.chipcon.com.
 Castano.J.G, Svensson.M, Esktrom.M, “Local Positioning for Wireless Sensors Based on Bluetooth”, In Proceeding of IEEE Radio and Wireless Conference, 2004.
 Ekahau Inc., http://www.ekahau.com