Research Article
Impact of on-body channel models on positioning success rate with UWB Wireless Body Area Networks
@INPROCEEDINGS{10.4108/eai.28-9-2015.2261545, author={Arturo Guizar and Claire GOURSAUD and Bernard Uguen}, title={Impact of on-body channel models on positioning success rate with UWB Wireless Body Area Networks}, proceedings={The Fourth Ultra Wideband for Body Area Networking Workshop}, publisher={ACM}, proceedings_a={UWBAN}, year={2015}, month={12}, keywords={wireless bodyareanetworks ultrawide band localization mo-tion capture ieee 802156 scheduling}, doi={10.4108/eai.28-9-2015.2261545} }- Arturo Guizar
Claire GOURSAUD
Bernard Uguen
Year: 2015
Impact of on-body channel models on positioning success rate with UWB Wireless Body Area Networks
UWBAN
ICST
DOI: 10.4108/eai.28-9-2015.2261545
Abstract
In this paper, we aim to evaluate the positioning success rate of nodes placed on the body using different scheduling strategies at theMediaAccess Control (MAC) layer withUltraWide Band (UWB) Wireless Body Area Networks (WBAN) and under three different channel models. For this purpose, each node calculates its rela-tive position with the estimation of its distances with the on-body anchors. Accordingly, the distance between two nodes can be es-timated with the transmission of three packets, as defined by the the ’3-Way ranging’ protocol (3-WR). However, these transactions can be affected by the WBAN channel leading into a packet loss and therefore positioning errors. In this work, we consider a PHY layer based on Impulse-Radio UWB (IR-UWB) with three differ-ent channels: (a) a theoretical path loss channel model based on the on-body CM3 channel (Anechoic chamber), (b) a simulated channel calculated with the PyLayers ray-tracing simulator and (c) experimental traces obtained by measurement. Moreover, we ana-lyze the positioning success rate using three scheduling strategies (Single node localization (P2P), Broadcast Single node localiza-tion (P2P-B) and Aggregated & Broadcast (A&B)) with a MAC layer based on time division multiple access (TDMA) and under a realistic pedestrian walking scenario. Our results show that the scheduling strategy with A&B let the nodes to estimate more posi-tions even through channels with slow and fast fading.