Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
A localization algorithm using space information for indoor wireless sensor networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Toward a highly accurate ambulatory system for clinical gait analysis via UWB radios
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Empirical modeling of intra-BAN ranging errors based on IR-UWB TOA estimation
Proceedings of the 7th International Conference on Body Area Networks
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Wireless Body Area Networks (WBAN) are endowed with relatively raw but intrinsic motion capture capabilities through radiolocation, which may be of interest for home activity monitoring, large-scale postural rehabilitation or gaming applications. In this context, we propose a solution to localize wearable wireless nodes relatively to a body-strapped Local Coordinate System (LCS). More particularly, we consider adapting a Constrained Distributed Weighted Multi-Dimensional Scaling algorithm (CDWMDS) that asynchronously estimates nodes' locations under fixed-length constraints. This algorithm is fed by inter-node range measurements based on e.g. Impulse Radio - Ultra Wideband (IR-UWB) Time Of Arrival (TOA) estimation. Several new enhancements to the nominal CDWMDS, including nodes censoring and updates scheduling for nodes' locations, are herein put forward to mitigate errors propagation and harmful effects caused by fast moving nodes. Simulation results are provided to illustrate the gains observed on the average location error per node under moderate pedestrian mobility, relying on a realistic biomechanical model.