Simulation of Robot-Assisted Wsn Localization Using Real-Life Data

Michał Marks , Ewa Niewiadomska-Szynkiewicz


The paper concerns the problem of robot-assistance in localization of stationary nodes in Wireless Sensor Networks (WSN). In our work, we present a simulation of localization process based on real-life data obtained during experiments. The paper describes classical localization algorithm – multilateration, however this algorithm is run not only on raw distance estimates but also on distance estimates obtained after application of specialized filtering procedures. A provided case study demonstrates the localization accuracy obtained for a robot localizing three stationary nodes during it’s movement along example path.
Author Michał Marks - Scientific and Academic Computer Network (NASK PIB)
Michał Marks,,
, Ewa Niewiadomska-Szynkiewicz (FEIT / AK)
Ewa Niewiadomska-Szynkiewicz,,
- The Institute of Control and Computation Engineering
Publication size in sheets30.35
Book Claus T., Herrmann F., Manitz M., Rose O. (eds.): Proceedings 30th European Conference on Modelling and Simulation ECMS 2016, 2016, Dudweiler, Germany, Digitaldruck Pirrot GmbH, ISBN 978-0-9932440-2-5, 746 p.
ecms2016proceedings.pdf / No licence information (file archived - login or check accessibility on faculty)
Keywords in EnglishWSN; Wireless Sensor Networks; Localization; Robot movement; Real-life data
Languageen angielski
marks_ens_ECMS16.pdf 4.02 MB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 18-05-2020, BookChapterMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 18-05-2020, BookChapterMatConfByConferenceseries
Publication indicators WoS Citations = 0
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