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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Simulation
Of Robot-Assisted WSN Localization Using Real-Life Data |
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Authors: |
Michal Marks, Ewa
Niewiadomska-Szynkiewicz |
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Published in:
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(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 |
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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 |
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DOI: |
http://dx.doi.org/10.7148/2016-0607 |
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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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