ABSTRACT
This paper presents an algorithm for people localization in large public buildings using Bluetooth Low Energy (BLE) beacons, Near-Field Communication (NFC) passive tags and information from specially designed Building Information Model (BIM). The proposed algorithm does not require any pre-data collection. An adaptive Kalman filter is used to decrease the noise in Received Signal-Strength Index (RSSI) raw measurements from beacons. To calculate a fine-grained user's position we find intersection points between rings, which inner and outer radiuses depends on fluctuations in RSSI signals from beacons. Then, for calculated intersection points, we obtain the optimal number of clusters using ANN clustering and inter-clusters entropy. These cluster canters are potential candidates for the position of the visitor. Using dead reckoning, we find a circle-shaped area in which the visitor is expected to be. Only clusters with centres located within this area are taken into account. If several points are in this area, the winner point is one, which belongs to clustering process that gives minimum inter-cluster entropy. The tests show that the localization error is below 1.5 m for all simulated and real world test scenarios.
- Azizyan, M., I. Constandache, R. Roy Choudhury, SurroundSense: mobile phone localization via ambience fingerprinting, In Proceedings of the 15th annual international conference on Mobile computing and networking, pp. 261--272, 2009. Google ScholarDigital Library
- Basem, A. at all, An Adaptive Positioning System for Smartphones in Zigbee Networks Using Channel Decomposition and Particle Swarm Optimization, In Proceedings of the International Technical Meeting, IONITM 2015, pp. 445--454, 2015.Google Scholar
- Harter, A., A. Hopper, P. Steggles, A. Ward, P. Webster, The anatomy of a context-aware application. Wireless Networks, 8(2/3), pp. 187--197, 2002. Google ScholarDigital Library
- Hossain, A.M., W.S. Soh, A survey of calibration-free indoor positioning systems. Journal Computer Communications, 66, pp. 1--13, 2015. Google ScholarDigital Library
- Liu, C., T. Scott, K. Wu, D. Hoffman, Range-free sensor localization with ring overlapping based on comparison of received signal strength indicator, International Journal of Sensor Networks, 2(5-6), pp. 399--413, 2007. Google ScholarDigital Library
- Misra, P., Y. Simmhan, J. Warrior, Towards a practical architecture for the next generation internet of things, arXiv:1502.00797, 2015.Google Scholar
- Priyantha, N.B., A. Chakraborty, H. Balakrishnan, The cricket location-support system, In Proceedings of the 6th Annual International Conference on Mobile computing and networking, pp. 32--43, 2000. Google ScholarDigital Library
- Thaljaoui, A., T. Val, N. Nasri, D. Brulin, BLE localization using RSSI measurements and iRingLA. In IEEE International Conference on Industrial Technology (ICIT), pp. 2178--2183, 2015.Google ScholarCross Ref
- Zafari, F., I. Papapanagiotou, Enhancing iBeacon based micro-location with particle filtering, In IEEE Proceedings Global Communications Conference (GLOBECOM), pp. 1--7, 2015.Google Scholar
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