Quantifying the impact of scheduling and mobility on IR-UWB localization in body area networks

Arturo Guizar (1, 2) , Anis Ouni (3) , C Goursaud (1, 2) , C Chaudet (4, 5) , Jean-Marie Gorce (1, 2)

1 SOCRATE - Software and Cognitive radio for telecommunications
2 INSA Lyon - Institut National des Sciences Appliquées de Lyon
3 Télécom ParisTech
4 LINCS - Laboratory of Information, Network and Communication Sciences
5 INFRES - Département Informatique et Réseaux

—In the context of radiolocation in Wireless Body Area Networks (WBANs), nodes positions can be estimated through time-based ranging algorithms. For instance, the distance separating a couple of nodes can be estimated accurately by measuring the Round Trip Time of Flight of an Impulse Radio Ultra Wideband (IR-UWB) link. This measure usually relies on two or three messages transactions. Such exchanges take time and a rapid mobility of the nodes can reduce the ranging accuracy and consequently impact nodes localization process. In this paper, we quantify this localization error by confronting two broadcast-based optimized implementations of the three-way ranging algorithm with real mobility traces, acquired through a motion capture system. We then evaluate, in the same scenarios, the impact of the MAC-level scheduling of the packets within a TDMA frame localization accuracy. The results, obtained with the WSNet simulator, show that MAC scheduling can be utilized to mitigate the effect of nodes mobility.

Mots clés: Body Area Networks; Mobility; positioning; Ranging; Ultra Wideband; Scheduling; Motion Capture

Domaines: Réseaux et télécommunications [cs.NI]

Arturo Guizar, Anis Ouni, C Goursaud, C Chaudet, Jean-Marie Gorce. Quantifying the impact of scheduling and mobility on IR-UWB localization in body area networks. IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), MIT Lincoln Laboratory, Jun 2015, Cambridge, United States. ⟨10.1109/BSN.2015.7299381⟩. ⟨hal-01246920⟩