Skip to main content

Multi-cell Based UWB Indoor Positioning System

  • Conference paper
  • First Online:
Intelligent Information and Database Systems (ACIIDS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11432))

Included in the following conference series:

Abstract

Indoor positioning is a big issue to trace or navigate for a moving object. Methods using Wi-Fi have been widely studied even though Wi-Fi has a lot of problems. UWB is an alternative indoor positioning method. But indoor positioning using UWB has lots of problems to solve. At an indoor environment like hospitals, many pathways like a maze is an important target for positioning. For monitoring an active moving object in some period, continuous tracking is needed. A cell system is proposed to overcome limitation of UWB modules on continuous indoor position tracking during some period. The proposed system can be used for analyzing staff workload at hospitals and for real time monitoring. Measuring nursing activities is critical steps to understand relationship between nursing practices, workload and patient safety.

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

Access this chapter

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

References

  1. Hong, J., Kim, K., Kim, C.: Comparison of indoor positioning system using Wi-Fi and UWB. In: Nguyen, N.T., Hoang, D.H., Hong, T.-P., Pham, H., Trawiński, B. (eds.) ACIIDS 2018. LNCS (LNAI), vol. 10751, pp. 623–632. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75417-8_58

    Chapter  Google Scholar 

  2. Hong, J., Kim, S., Lee, J., Kim, K., Kim, C.: Indoor position monitoring system using UWB module. In: 2018 International Conference on Applied Mechanics, Mechatronics and Materials (2018)

    Google Scholar 

  3. Di Benedetto, M.-G.: UWB communication systems: a comprehensive over-view, vol. 5. Hindawi Publishing Corporation, New York (2006)

    Book  Google Scholar 

  4. Dong, Q., Dargie, W.: Evaluation of the reliability of RSSI for indoor localization. In: 2012 International Conference on Wireless Communications in Unusual and Confined Areas (ICWCUCA), pp. 1–6. IEEE (2012)

    Google Scholar 

  5. Zhou, Y., Law, C.L., Chin, F.: Construction of local anchor map for indoor position measurement system. IEEE Trans. Instrum. Measur. 59(7), 1986–1988 (2010)

    Article  Google Scholar 

  6. Kim, K., Hong, J., Kim, C.: An alarm and response tracking system for the patient-centric perspective. J. Med. Imaging Health Inform. 8, 190–195 (2018)

    Article  Google Scholar 

  7. Ingram, S.J., Harmer, D., Quinlan, M.: UltraWideBand indoor positioning systems and their use in emergencies. In: Position Location and Navigation Symposium, PLANS 2004, pp. 706–715. IEEE (2004)

    Google Scholar 

  8. Saksvik-Lehouillier, I., et al.: Individual, situational and lifestyle factors related to shift work tolerance among nurses who are new to and experienced in night work. J. Adv. Nurs. 69(5), 1136–1146 (2013)

    Article  Google Scholar 

  9. Duffield, C., et al.: Nursing staffing, nursing workload, the work environment and patient outcomes. Appl. Nurs. Res. 24, 244–255 (2011)

    Article  Google Scholar 

  10. Myny, D., et al.: Determining a set of measurable and relevant factors affecting nursing workload in the acute care hospital setting: a cross-sectional study. Int. J. Nurs. Stud. 49, 427–436 (2012)

    Article  Google Scholar 

  11. OnkarPathak, P.P., Palkar, R., Tawari, M.: Wi-Fi indoor positioning system based on RSSI measurements from Wi-Fi access points –a trilateration approach. Int. J. Sci. Eng. Res. 5(4), 1234–1238 (2014)

    Google Scholar 

  12. Vasisht, D., Kumar, S., Katabi, D.: Decimeter-level localization with a single WiFi access point. In: 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2016) (2016)

    Google Scholar 

  13. Kong, I.-Y., Kim, H.-J.: Experiments and its analysis on the Identification of indoor location by visible light communication using LED lights. J. Korea Inst. Inf. Commun. Eng. 15(5), 1045–1052 (2011)

    Article  Google Scholar 

  14. Bluetooth Indoor Localization System: Gunter FISCHER, Burkhart DIETRICH, Frank WINKLER

    Google Scholar 

Download references

Acknowledgement

This research was supported by The Leading Human Resource Training Program of Regional Neo industry through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and future Planning, and the BK21 Plus Program funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to ChongGun Kim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hong, J., Kim, S., Kim, K., Kim, C. (2019). Multi-cell Based UWB Indoor Positioning System. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11432. Springer, Cham. https://doi.org/10.1007/978-3-030-14802-7_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-14802-7_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14801-0

  • Online ISBN: 978-3-030-14802-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics