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Link to original content: https://unpaywall.org/10.1007/S12652-019-01626-2
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Improving bluetooth beacon-based indoor location and fingerprinting

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Abstract

The complex way radio waves propagate indoors, leads to the derivation of location using fingerprinting techniques. In this cases, location is computed relying on WiFi signals strength mapping. Recent Bluetooth low energy (BLE) provides new opportunities to explore positioning. In this work is studied how BLE beacons radio signals can be used for indoor location scenarios, as well as their precision. Additionally, this paper also introduces a method for beacon-based positioning, based on signal strength measurements at key distances for each beacon. This method allows to use different beacon types, brands, and location conditions/constraints. Depending on each situation (i.e., hardware and location) it is possible to adapt the distance measuring curve to minimize errors and support higher distances, while at the same time keeping good precision. Moreover, this paper also presents a comparison with traditional positioning method, using formulas for distance estimation, and the position triangulation. The proposed study is performed inside the campus of Viseu Polytechnic Institute, and tested using a group of students, each with his smart-phone, as proof of concept. Experimental results show that BLE allows having < 1.5 m error approximately 90% of the times, and the experimental results using the proposed location detection method show that the proposed position technique has 13.2% better precision than triangulation, for distances up to 10 m.

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References

  • Al Nuaimi K, Kamel H (2011) A survey of indoor positioning systems and algorithms. In: 2011 international conference on innovations in information technology (IIT). IEEE, pp 185–190

  • Bahl P, Padmanabhan VN, Balachandran A (2000) Enhancements to the radar user location and tracking system. Microsoft Res 2(MSR-TR-2000-12):775–784

    Google Scholar 

  • Bluetooth S (2010) Bluetooth core specification version 4.0. Specification of the Bluetooth System

  • Cecílio J, Duarte K, Furtado P (2015) Blindedroid: an information tracking system for real-time guiding of blind people. Procedia Comput Sci 52:113–120

    Article  Google Scholar 

  • Cecílio J, Duarte K, Martins P, Furtado P (2018) Robustpathfinder: handling uncertainty in indoor positioning techniques. Procedia Comput Sci 130:408–415

    Article  Google Scholar 

  • Chawathe SS (2008) Beacon placement for indoor localization using bluetooth. In: 2008 11th international IEEE conference on intelligent transportation systems. ITSC 2008. Citeseer, pp 980–985

  • Chen L, Pei L, Kuusniemi H, Chen Y, Kröger T, Chen R (2013) Bayesian fusion for indoor positioning using bluetooth fingerprints. Wirel Pers Commun 70(4):1735–1745

    Article  Google Scholar 

  • Chen Z, Zou H, Jiang H, Zhu Q, Soh YC, Xie L (2015) Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization. Sensors 15(1):715–732

    Article  Google Scholar 

  • Ciabattoni L, Foresi G, Monteriù A, Pepa L, Pagnotta DP, Spalazzi L, Verdini F (2019) Real time indoor localization integrating a model based pedestrian dead reckoning on smartphone and BLE beacons. J. Ambient Intell Humaniz Comput 10(1):1–12

    Article  Google Scholar 

  • Decker C, Wattenhofer R (2013) Information propagation in the bitcoin network. In: 2013 IEEE thirteenth international conference on peer-to-peer computing (P2P). IEEE, pp 1–10

  • Dong Q, Dargie W (2012) Evaluation of the reliability of rssi for indoor localization. In: 2012 international conference on wireless communications in unusual and confined areas (ICWCUCA). IEEE, pp 1–6

  • Duarte K (2014) Smart-guia: a shopping assistant for blind people. Master’s thesis

  • Faragher R, Sarno C, Newman M (2012) Opportunistic radio slam for indoor navigation using smartphone sensors. In: Position location and navigation symposium (PLANS), 2012 IEEE/ION. IEEE, pp 120–128

  • Ferris BD, Fox D, Lawrence N (2007) Wifi-slam using gaussian process latent variable models

  • Forno F, Malnati G, Portelli G (2005) Design and implementation of a bluetooth ad hoc network for indoor positioning. IEE Proc-Softw 152(5):223–228

    Article  Google Scholar 

  • Fu B, Kirchbuchner F, von Wilmsdorff J, Grosse-Puppendahl T, Braun A, Kuijper A (2019) Performing indoor localization with electric potential sensing. J Ambient Intell Humaniz Comput 10(2):731–746

    Article  Google Scholar 

  • Harle R (2013) A survey of indoor inertial positioning systems for pedestrians. IEEE Commun Surv Tutor 15(3):1281–1293

    Article  Google Scholar 

  • Heydon R (2013) Bluetooth low energy: the developer’s handbook, vol 1. Prentice Hall, Upper Saddle River

    Google Scholar 

  • Honkavirta V, Perala T, Ali-Loytty S, Piché R (2009) A comparative survey of wlan location fingerprinting methods. In: 2009 6th workshop on positioning, navigation and communication. WPNC 2009. IEEE, pp 243–251

  • Huang J, Millman D, Quigley M, Stavens D, Thrun S, Aggarwal A (2011) Efficient, generalized indoor wifi graphslam. In: 2011 IEEE international conference on robotics and automation (ICRA). IEEE, pp 1038–1043

  • Instruments T (2006) CC2420: 2.4 GHz IEEE 802.15. 4/ZigBee-ready RF Transceiver

  • King T, Kopf S, Haenselmann T, Lubberger C, Effelsberg W (2006) Compass: a probabilistic indoor positioning system based on 802.11 and digital compasses. In: Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization. ACM, pp 34–40

  • Koyuncu H, Yang SH (2010) A survey of indoor positioning and object locating systems. IJCSNS Int J Comput Sci Netw Secur 10(5):121–128

    Google Scholar 

  • Liu H, Darabi H, Banerjee P, Liu J (2007) Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst Man Cybern C (Appl Rev) 37(6):1067–1080

    Article  Google Scholar 

  • Palumbo F, Barsocchi P, Chessa S, Augusto JC (2015) A stigmergic approach to indoor localization using bluetooth low energy beacons. In: 2015 12th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1–6

  • Subhan F, Hasbullah H, Rozyyev A, Bakhsh ST (2011) Indoor positioning in bluetooth networks using fingerprinting and lateration approach. In: 2011 international conference on information science and applications (ICISA). IEEE, pp 1–9

  • Youssef M, Agrawala A (2005) The horus wlan location determination system. In: Proceedings of the 3rd international conference on mobile systems, applications, and services. ACM, pp 205–218

  • Zhuang Y, Yang J, Li Y, Qi L, El-Sheimy N (2016) Smartphone-based indoor localization with bluetooth low energy beacons. Sensors 16(5):596

    Article  Google Scholar 

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Acknowledgements

“This work is financed by national funds through FCT - Fundação para a Ciência e Tecnologia, IP, under the project UID/Multi/04016/2019. Also financed by CityAction and BlueEyes project, respectively, CENTRO-01-0247-FEDER-017711, and 02/SAICT/2016, supported by Centro Portugal Regional Operational Program (CENTRO 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). Furthermore, we would like to thank the Instituto Politécnico de Viseu and CI&DETS for their support”.

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Authors and Affiliations

  1. Department of Computer, Polytechnic Institute of Viseu, Viseu, Portugal

    Pedro Martins, Filipe Sá, Francisco Morgado & Filipe Caldeira

  2. Department of Computer Sciences, University of Coimbra, Coimbra, Portugal

    Maryam Abbasi

  3. Department of Computer Sciences, University of Lisbon, Lisbon, Portugal

    José Cecílio

Authors
  1. Pedro Martins
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  2. Maryam Abbasi
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  3. Filipe Sá
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  4. José Cecílio
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  5. Francisco Morgado
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  6. Filipe Caldeira
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Correspondence to Pedro Martins.

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Martins, P., Abbasi, M., Sá, F. et al. Improving bluetooth beacon-based indoor location and fingerprinting. J Ambient Intell Human Comput 11, 3907–3919 (2020). https://doi.org/10.1007/s12652-019-01626-2

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