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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Enhancing WSN Localization Algorithm's Robustness Utilizing
HPC Environment |
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Authors: |
Michał Marks |
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Published in:
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(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European
Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
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Citation
format: |
Marks, M. (2012). Enhancing WSN
Localization Algorithm's Robustness Utilizing HPC Environment. ECMS 2012
Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann
(pp. 540-546). European Council for Modeling and Simulation. doi:10.7148/2012-0540-0546 |
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DOI: |
http://dx.doi.org/10.7148/2012-0540-0546 |
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Abstract: |
The
paper treats the problem of localization in Wireless Sensor Network (WSN). In
our work, we present and evaluate Wireless Sensor Network Localization
System, which offers network models generator along with differ- ent localization methods including Trilateration
& Sim- ulated
Annealing algorithm. The paper describes exten- sion of WSN Localization System with modules support- ing distributed computing in HPC environment. A pro-
vided case study concentrate on improving algorithms ro-
bustness through parallel solving a huge number of
local- ization tasks. WSN Localization System in
distributed version is used for generation a set of test networks with
various topology parameters and solving the created lo- calization
tasks with very different values of method pa- rameters.
Applying distributed computing in our HPC infrastructure allows to speedup
calculations by two or- ders
of magnitude. |
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