Research Article
From the Characterization of Ranging Error to the Enhancement of Nodes Localization for Group of Wireless Body Area Networks
@INPROCEEDINGS{10.1007/978-3-319-25067-0_15, author={Anis Ouni and Jihad Hamie and Claude Chaudet and Arturo Guizar and Claire Goursaud}, title={From the Characterization of Ranging Error to the Enhancement of Nodes Localization for Group of Wireless Body Area Networks}, proceedings={Ad Hoc Networks. 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1--2, 2015, Proceedings}, proceedings_a={ADHOCNETS}, year={2015}, month={9}, keywords={Body Area Networks Group Navigation Ultra Wideband Ranging error localization EKF}, doi={10.1007/978-3-319-25067-0_15} }- Anis Ouni
Jihad Hamie
Claude Chaudet
Arturo Guizar
Claire Goursaud
Year: 2015
From the Characterization of Ranging Error to the Enhancement of Nodes Localization for Group of Wireless Body Area Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-319-25067-0_15
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.
