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From the Characterization of Ranging Error to the Enhancement of Nodes Localization for Group of Wireless Body Area Networks

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Abstract

Time-based localization in Wireless Body Area Networks (WBANs), has attracted growing research interest for the last past years. Nodes positions can be estimated based on peer-to-peer radio transactions between devices. Indeed, the accuracy of the localization process could be highly affected by different factors, such as the WBAN channels where the signal is propagating through, as well as the nodes mobility that bias the peer-to-peer range estimation, and thus, the final achieved localization accuracy. The goal of this paper consists in characterizing the impact of mobility and WBAN channel on the ranging and localization estimation, based on real mobility traces acquired through a motion capture system. More specifically, the ranging error is evaluated over all the WBANs links (i.e. on-body, off-body and body-to-body links), while an impulse Radio UltraWideband (IR-UWB) physical layer, as well as a TDMA-based Medium Access Control (MAC) are playing on. The simulation results show that the range measurement error can be modeled as a Gaussian distribution. To deal with the gaussianity observation of ranging error and to provide high positioning accuracy, an adjustable extended Kalman Filter (EKF) is proposed.

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References

  1. Vicon, http://www.vicon.com/

  2. Ieee 802.15 wpan task group 6 (tg6) - body area networks

    Google Scholar 

  3. Gezici, S., et al.: Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. Signal Processing Magazine 22(4), 70–84 (2005)

    Article  Google Scholar 

  4. Guizar, A., Ouni, A., Goursaud, C., Amiot, N., Gorce, J.: Impact of MAC scheduling on positioning accuracy for motion capture with UWB body area networks. In: Proceedings of the 9th International Conference on Body Area Networks (2014)

    Google Scholar 

  5. Chelius, G., Fraboulet, A., Ben Hamida, E.: http://wsnet.gforge.inria.fr/

  6. Choliz, J., Hernandez, A., Valdovinos, A.: A framework for UWB-based communication and location tracking systems for wireless sensor networks. Sensors 11, 9045–9068 (2011)

    Article  Google Scholar 

  7. Hamie, J., Denis, B., D’Errico, R., Richard, C.: On-body TOA-based ranging error model for motion capture applications within wearable UWB networks. Journal of Ambient Intelligence and Humanized Computing (December 2013)

    Google Scholar 

  8. Bharadwaj, C.G.P.J.B.R., Swaisaenyakorn, S., Alomainy, A.: Localization of wearable ultrawideband antennas for motion capture applications. Antennas Wirel. Propag. Lett. 13, 507–510 (2014)

    Article  Google Scholar 

  9. Ben Hamida, E., Maman, M., Denis, B., Ouvry, L.: Localization performance in Wireless Body Sensor Networks with beacon enabled MAC and space-time dependent channel model. In: IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Workshops, Istanbul, Turkey (September 2010)

    Google Scholar 

  10. Shaban, H.A., El-Nasr, M.A., Buehrer, R.M.: Toward a Highly Accurate Ambulatory System for Clinical Gait Analysis via UWB Radios. IEEE Transactions on Information Technology in Biomedicine 14 (March 2010)

    Google Scholar 

  11. Mhedhbi, M., Laaraiedh, M., Uguen, B.: Constrained LMDS technique for human motion and gesture estimation. In: 9th Workshop on Positioning Navigation and Communication (WPNC), Dresden, Germany (March 2012)

    Google Scholar 

  12. Mekonnen, Z.W., Slottke, E., Luecken, H., Steiner, C., Wittneben, A.: Constrained maximum likelihood positioning for uwb based human motion tracking. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN) (September 2010)

    Google Scholar 

  13. Hamie, J., Chaudet, C., Denis, B.: Improved Navigation Capabilities in Groups of Cooperative Wireless Body Area Networks. In: 9th International Conference on Body Area Networks (BodyNets), Oslo, Norway (September 2014)

    Google Scholar 

  14. Maman, M., Denis, B., Pezzin, M., Piaget, B., Ouvry, L.: Synergetic MAC and higher layers functionalities for UWB LDR-LT wireless networks. In: IEEE International Conference on Ultra-Wideband (ICUWB 2008), vol. 3, pp. 101–104 (2008)

    Google Scholar 

  15. Macagnano, D., Destino, G., Esposito, F., Abreu, G.: MAC performances for localization and tracking in wireless sensor networks. In: 2007 4th Workshop on Positioning, Navigation and Communication (2007)

    Google Scholar 

  16. Perälä, T., Piché, R.: Robust extended Kalman Filtering in Hybrid Positioning Applications. In: 4th Workshop on Positioning, Navigation and Communication (WPNC 2007), Hannover, Germany (March 2007)

    Google Scholar 

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Correspondence to Anis Ouni .

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© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Ouni, A., Hamie, J., Chaudet, C., Guizar, A., Goursaud, C. (2015). From the Characterization of Ranging Error to the Enhancement of Nodes Localization for Group of Wireless Body Area Networks. In: Mitton, N., Kantarci, M., Gallais, A., Papavassiliou, S. (eds) Ad Hoc Networks. ADHOCNETS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 155. Springer, Cham. https://doi.org/10.1007/978-3-319-25067-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-25067-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25066-3

  • Online ISBN: 978-3-319-25067-0

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