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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Simulation Of Robot-Assisted WSN Localization Using Real-Life Data

Authors:

Michal Marks, Ewa Niewiadomska-Szynkiewicz

Published in:

 

 

(2016).ECMS 2016 Proceedings edited by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and Simulation. doi:10.7148/2016

 

 

ISBN: 978-0-9932440-2-5

 

30th European Conference on Modelling and Simulation,

Regensburg Germany, May 31st – June 3rd, 2016

 

Citation format:

Michal Marks, Ewa Niewiadomska-Szynkiewicz (2016). Simulation Of Robot-Assisted WSN Localization Using Real-Life Data, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose  European Council for Modeling and Simulation. doi:10.7148/2016-0607

 

DOI:

http://dx.doi.org/10.7148/2016-0607

Abstract:

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.

 

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