A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities

Pawel Gburzynski, Wlodek Olesinski, Jasmien Van Vooren

2016

Abstract

We present an indoor location tracking system (RTLS) based on a wireless sensor network (WSN) where the received signal strength (RSS) readings collected by immobile nodes (Pegs) from mobile (tracked) nodes (Tags) are translated into location estimates for the Tags. The process employs a database of samples previously collected from known locations; thus, the scheme falls into the category of profile-based solutions, with RSS readings being the only kind of input to the estimator. Compared to other schemes hinged on the same general idea, the novelty of our approach consists in systematically taking advantage of multiple transmit power levels at the Tags. This allows us to effectively emulate RFID-type of operation, when a nearby Peg can authoritatively identify the location by perceiving a weak signal from the Tag (indicative of the Tag’s immediate proximity), while otherwise falling back to elaborate fitting of multiple readings (collected by several Pegs) to produce a (possibly approximate) location estimate. The location service of our network is an add on to its other duties which consist in providing connectivity within an independent living (IL) facility for the purpose of inconspicuously monitoring the patients, detecting anomalies, signaling alarms, and so on.

References

  1. Boers, N. M., Chodos, D., GburzyÁski, P., Guirguis, L., Huang, J., Lederer, R., Liu, L., Nikolaidis, I., Sadowski, C., and Stroulia, E. (2010). The smart condo project: services for independent living. E-Health, assistive technologies and applications for assisted living: challenges and solutions. IGI Global.
  2. Cho, H. and Kwon, Y. (2016). RSS-based indoor localization with PDR location tracking for wireless sensor networks. AEU-International Journal of Electronics and Communications, 70(3):250 - 256.
  3. Christ, T. W., Godwin, P. A., and Lavigne, R. E. (1993). A prison guard duress alarm location system. In Security Technology, 1993. Security Technology, Proceedings. Institute of Electrical and Electronics Engineers 1993 International Carnahan Conference on, pages 106- 116. IEEE.
  4. Deak, G., Curran, K., and Condell, J. (2012). A survey of active and passive indoor localisation systems. Computer Communications, 35(16):1939-1954.
  5. GburzyÁski, P., Kaminska, B., and OlesiÁski, W. (2007). A tiny and efficient wireless ad-hoc protocol for low-cost sensor networks. In Proceedings of DATE'07, pages 1562-1567, Nice, France.
  6. GburzyÁski, P. and OlesiÁski, W. (2008). On a practical approach to low-cost ad hoc wireless networking. Journal of Telecommunications and Information Technology, 2008(1):29-42.
  7. Haque, I., Nikolaidis, I., and GburzyÁski, P. (2009). A scheme for indoor localization through RF profiling. In ICC'09, Dresden, Germany.
  8. Kempke, B., Pannuto, P., and Dutta, P. (2015). Polypoint: Guiding indoor quadrotors with ultra-wideband localization. In Proceedings of the 2nd International Workshop on Hot Topics in Wireless, pages 16-20. ACM.
  9. Martínez-Sala, A., Molina-Garcia-Pardo, J.-M., EgeaLdpez, E., Vales-Alonso, J., Juan-Llacer, L., and García-Haro, J. (2005). An accurate radio channel model for wireless sensor networks simulation. Communications and Networks, Journal of, 7(4):401-407.
  10. Ni, L. M., Liu, Y., Lau, Y. C., and Patil, A. P. (2004). LANDMARC: indoor location sensing using active RFID. Wireless networks, 10(6):701-710.
  11. Schantz, H. G. (2007). A real-time location system using near-field electromagnetic ranging. In Antennas and Propagation Society International Symposium, 2007 IEEE, pages 3792-3795. IEEE.
  12. Texas Instruments (2014). CC1100 Single Chip Low Cost Low Power RF Transceiver. Document SWRS038D.
  13. Venkatraman, S. and Caffery Jr, J. (2004). Hybrid TOA/AOA techniques for mobile location in nonline-of-sight environments. In Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE, volume 1, pages 274-278. IEEE.
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Paper Citation


in Harvard Style

Gburzynski P., Olesinski W. and Van Vooren J. (2016). A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities . In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, (ICETE 2016) ISBN 978-989-758-196-0, pages 64-71. DOI: 10.5220/0005959000640071


in Bibtex Style

@conference{dcnet16,
author={Pawel Gburzynski and Wlodek Olesinski and Jasmien Van Vooren},
title={A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, (ICETE 2016)},
year={2016},
pages={64-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005959000640071},
isbn={978-989-758-196-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, (ICETE 2016)
TI - A WSN-based, RSS-driven, Real-time Location Tracking System for Independent Living Facilities
SN - 978-989-758-196-0
AU - Gburzynski P.
AU - Olesinski W.
AU - Van Vooren J.
PY - 2016
SP - 64
EP - 71
DO - 10.5220/0005959000640071