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Entity localization and tracking: a sensor fusion-based mechanism in WSNs

dc.contributor.authorTennina, Stefano
dc.contributor.authorValletta, Marco
dc.contributor.authorSantucci, Fortunato
dc.contributor.authorRenzo, Marco Di
dc.contributor.authorGraziosi, Fabio
dc.contributor.authorMinutolo, Riccardo
dc.date.accessioned2014-02-07T15:39:48Z
dc.date.available2014-02-07T15:39:48Z
dc.date.issued2011
dc.description.abstractKnowing exactly where a mobile entity is and monitoring its trajectory in real-time has recently attracted a lot of interests from both academia and industrial communities, due to the large number of applications it enables, nevertheless, it is nowadays one of the most challenging problems from scientific and technological standpoints. In this work we propose a tracking system based on the fusion of position estimations provided by different sources, that are combined together to get a final estimation that aims at providing improved accuracy with respect to those generated by each system individually. In particular, exploiting the availability of a Wireless Sensor Network as an infrastructure, a mobile entity equipped with an inertial system first gets the position estimation using both a Kalman Filter and a fully distributed positioning algorithm (the Enhanced Steepest Descent, we recently proposed), then combines the results using the Simple Convex Combination algorithm. Simulation results clearly show good performance in terms of the final accuracy achieved. Finally, the proposed technique is validated against real data taken from an inertial sensor provided by THALES ITALIA.por
dc.identifier.doi10.1109/HPCC.2011.144pt_PT
dc.identifier.isbn978-0-7695-4538-7
dc.identifier.isbn978-1-4577-1564-8
dc.identifier.urihttp://hdl.handle.net/10400.22/3820
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.relation.ispartofseriesHigh Performance Computing and Communications (HPCC);
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6063110&tag=1por
dc.subjectLocalization and trackingpor
dc.subjectInertial systemspor
dc.subjectSensor fusionpor
dc.titleEntity localization and tracking: a sensor fusion-based mechanism in WSNspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceBanff, ABpor
oaire.citation.endPage988por
oaire.citation.startPage938por
oaire.citation.titleIEEE 13th International Conference on High Performance Computing and Communications (HPCC) 2011por
rcaap.rightsclosedAccesspor
rcaap.typearticlepor

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