Nothing Special   »   [go: up one dir, main page]

Skip to main content

Reliability of Bluetooth Smart Technology for Indoor Localization System

  • Conference paper
  • First Online:
Computer Networks (CN 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 522))

Included in the following conference series:

Abstract

The main objective of the paper was to test whether the devices compatible with Bluetooth Low Energy are reliable for indoor localization system. To determine the reliability of this technology several tests were performed to check if measured distance between Bluetooth transmitter and mobile device is close to the real value. Distance measurement focused on Bluetooth technology based mainly on received signal strength indicator (RSSI), which is used to calculate the distance between a transmitter and a receiver. As the research results show, the Bluetooth LE signal power cannot be the only reliable source of information for precise indoor localization.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    iBeacon and iOS are trademarks of Apple Inc., registered in the U.S. and other countries.

References

  1. Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. IEEE Pers. Commun. 7(5), 28–34 (2000)

    Article  Google Scholar 

  2. Magnusson, C., Rassmus-Gröhn, K., Szymczak, D.: Navigation by pointing to GPS locations. Pers. Ubiquit. Comput. 16(8), 959–971 (2012)

    Article  Google Scholar 

  3. Woo-Yong, L., Kyeong, H., Doo-Seop, E.: Navigation of mobile node in wireless sensor networks without localization. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 1–7 (2008)

    Google Scholar 

  4. Seovv, C., Seah, W., Liu, Z.: Hybrid mobile wireless sensor network cooperative localization. In: IEEE 22nd International Symposium on Intelligent Control, pp. 29–34 (2007)

    Google Scholar 

  5. Ng, M.L., Leong, K.S., Hall, D.M., Cole, P.H.: A small passive UHF RFID tag for livestock identification. In: IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2005, vol. 1, pp. 67–70 (2005)

    Google Scholar 

  6. Dong, G.-F., Chang, L., Fei, G., et al.: Performance enhancement of localization in wireless sensor network by self-adaptive algorithm based on difference. In: Mobile Congress (GMC), pp. 1–5 (2010)

    Google Scholar 

  7. Bhargava, P., Krishnamoorthy, S., Nakshathri, A.K., Mah, M., Agrawala, A.: Locus: an indoor localization, tracking and navigation system for multi-story buildings using Heuristics derived from Wi-Fi signal strength. In: Zheng, K., Li, M., Jiang, H. (eds.) MobiQuitous 2012. LNICST, vol. 120, pp. 212–223. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  8. Canalda, P., Cypriani, M., Spies, F.: Open Source OwlPS 1.3: Towards a Reactive Wi-Fi Positioning System Sensitive to Dynamic Changes. In: Chessa, S., Knauth, S. (eds.) EvAAL 2012. CCIS, vol. 362, pp. 95–107. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Yucel, H., Yazici, A., Edizkan, R.: A survey of indoor localization systems. In: Signal Processing and Communications Applications Conference (SIU) IEEE Conference, pp. 1267–1270 (2014)

    Google Scholar 

  10. Dagtas, S., Natchetoi, D., Wu, H.: An integrated wireless sensing and mobile processing architecture for assisted living and healthcare applications. In: Proceedings of the 1st ACM SIGMOBILE, pp. 70–72 (2007)

    Google Scholar 

  11. Xu, X., Zheng, P., Li, L., Chen, H., Ye, J., Wang, J.: Design of underground miner positioning system based on ZigBee technology. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds.) WISM 2012. LNCS, vol. 7529, pp. 342–349. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  12. Specification of the bluetooth system. Technical report, Bluetooth special interest group, ver. 4.0 (2010)

    Google Scholar 

  13. Georgakakis, E., Nikolidakis, S.A., Vergados, D.D., Douligeris, C.: An analysis of bluetooth, zigbee and bluetooth low energy and their use in WBANs. In: Lin, J. (ed.) MobiHealth 2010. LNICST, vol. 55, pp. 168–175. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  14. Zhao, X., Xiao, Z. et al.: Does BTLE measure up against WiFi? A comparison of indoor location performance. In: 20th European Wireless Conference on European Wireless 2014, pp. 1–6. IEEE VDE (2014)

    Google Scholar 

  15. Oksar, I.: A Bluetooth signal strength based indoor localization method. Systems, Signals and Image Processing (IWSSIP), pp. 251–254. IEEE (2014)

    Google Scholar 

  16. Mair, N., Mahmoud, Q.H.: A collaborative bluetooth-based approach to localization of mobile devices. In: 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 363–371. IEEE (2012)

    Google Scholar 

  17. Perez Iglesias, H.J., Barral, V., Escudero, C.J.: Indoor person localization system through RSSI bluetooth fingerprinting. In: Systems, Signals and Image Processing (IWSSIP), pp. 40–43. IEEE (2012)

    Google Scholar 

  18. Dong, Q., Dargie, W.: Evaluation of the reliability of RSSI for indoor localization. In: 2012 International Conference, ICWCUCA, pp. 28–30. IEEE (2012)

    Google Scholar 

  19. Zemek, R., Anzai, D., Hara, S., et al.: RSSI-based localization without a prior knowledge of channel model parameters. Int. J. Wireless Inf. Networks 15(3–4), 128–136 (2008)

    Article  Google Scholar 

  20. Siekkinen, M., Hiienkari, M., Nurminen, J. et al.: How low energy is bluetooth low energy? Comparative measurements with ZigBee/802.15.4. In: Wireless Communications and Networking Conference Workshops (WCNCW), pp. 232–237. IEEE (2012)

    Google Scholar 

  21. Maćkowski, M.: The influence of electromagnetic disturbances on data transmission in USB standard. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2009. CCIS, vol. 39, pp. 95–102. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

Download references

Acknowledgments

This work was supported by the European Union from the European Social Fund (grant agreement number: UDA-POKL.04.01.01-00-106/09).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michał Maćkowski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Kwiecień, A., Maćkowski, M., Kojder, M., Manczyk, M. (2015). Reliability of Bluetooth Smart Technology for Indoor Localization System. In: Gaj, P., Kwiecień, A., Stera, P. (eds) Computer Networks. CN 2015. Communications in Computer and Information Science, vol 522. Springer, Cham. https://doi.org/10.1007/978-3-319-19419-6_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19419-6_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19418-9

  • Online ISBN: 978-3-319-19419-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics