Workshop UWBAN-2014

Research Article

Impact of MAC Scheduling on Positioning Accuracy for Motion Capture with Ultra Wideband Body Area Networks

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  • @INPROCEEDINGS{10.4108/icst.bodynets.2014.257113,
        author={Arturo Guizar and Anis Ouni and Claire Goursaud and Nicolas Amiot and Jean-Marie Gorce},
        title={Impact of MAC Scheduling on Positioning Accuracy for Motion Capture with Ultra Wideband Body Area Networks},
        proceedings={Workshop UWBAN-2014},
        publisher={ICST},
        proceedings_a={UWBAN},
        year={2014},
        month={11},
        keywords={wireless body area networks ultra wideband motion capture},
        doi={10.4108/icst.bodynets.2014.257113}
    }
    
  • Arturo Guizar
    Anis Ouni
    Claire Goursaud
    Nicolas Amiot
    Jean-Marie Gorce
    Year: 2014
    Impact of MAC Scheduling on Positioning Accuracy for Motion Capture with Ultra Wideband Body Area Networks
    UWBAN
    ICST
    DOI: 10.4108/icst.bodynets.2014.257113
Arturo Guizar1,*, Anis Ouni2, Claire Goursaud1, Nicolas Amiot3, Jean-Marie Gorce1
  • 1: CITI INSA LYON
  • 2: Telecom ParisTech
  • 3: University of Rennes 1, IETR
*Contact email: arturo.guizar@insa-lyon.fr

Abstract

Wireless Body Area Networks (WBANs) have recently emerged as a solution to enable effective location-aware applications. The rapid mobility of nodes is the most specific problem of this kinds of networks and it is not well considered when designing MAC protocols. In this paper, we consider a WBAN using a typical TDMA-based Medium Access Control (MAC) protocol and an Impulse Radio Ultra Wideband (IR-UWB) physical layer defined by the standard IEEE802.15.6. We investigate the impact of mobility on the Motion Capture applications. The Root Mean Square Error (RMSE) of the estimated positions is analyzed according to different scheduling strategies at MAC layer under a real human mobility model. Our results show that an effective scheduling scheme leads to prioritize the own node position estimation. Finally, we propose to extend the study with a realistic human body channel.