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

  • Anis Ouni
  • Jihad Hamie
  • Claude Chaudet
  • Arturo Guizar
  • Claire Goursaud
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 155)

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.

Keywords

Body Area Networks Group Navigation Ultra Wideband Ranging error localization EKF 

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Copyright information

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

Authors and Affiliations

  • Anis Ouni
    • 1
  • Jihad Hamie
    • 1
  • Claude Chaudet
    • 1
  • Arturo Guizar
    • 2
  • Claire Goursaud
    • 2
  1. 1.Institut Mines-TelecomTelecom ParisTech, CNRS LTCI UMR 5141ParisFrance
  2. 2.University of Lyon, INRIA, INSA Lyon, CITI-INRIALyonFrance

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