Simulation of Robot-Assisted Wsn Localization Using Real-Life Data
Michał Marks , Ewa Niewiadomska-Szynkiewicz
AbstractThe 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.
|Publication size in sheets||30.35|
|Book||Claus T., Herrmann F., Manitz M., Rose O. (eds.): Proceedings 30th European Conference on Modelling and Simulation ECMS 2016, 2016, Digitaldruck Pirrot GmbH, ISBN 978-0-9932440-2-5, 746 p.|
|Keywords in English||WSN; Wireless Sensor Networks; Localization; Robot movement; Real-life data|
|Score|| = 15.0, 27-03-2017, BookChapterMatConf|
= 15.0, 27-03-2017, BookChapterMatConf
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