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Digital Library of the
European Council for Modelling and Simulation |
Title: |
On Multi-Agent Strategies For Efficiently Designing Competent
Integrated Hardware-Generic Simulation Systems of Wireless Sensor Networks |
Authors: |
Alexander Filippou, Dimitrios A. Karras |
Published in: |
(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
Citation
format: |
Alexander
Filippou, Dimitrios A. Karras (2015).
On Multi-Agent Strategies For
Efficiently Designing Competent Integrated Hardware-Generic Simulation
Systems Of Wireless Sensor Networks, ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova European Council for Modeling and Simulation. doi:10.7148/2015-0221 |
DOI: |
http://dx.doi.org/10.7148/2015-0221 |
Abstract: |
This research deals with several key
issues concerning WSN design process. Due to the nature of these networks, debugging
after deployment is unlikely, thus a wellorganized testing
methodology is required. WSN simulators could achieve such a task, but still
code implementing mote sensing and RF behaviour consists
of layered and/or interacting protocols that for the sake of designing
accuracy are tested working as a whole, running on specific hardware.
Simulators that provide cross layer simulation and hardware cross platform
emulation options may be regarded as a significant milestone for improved WSN
design process. The herein proposed multi-agent simulation architecture aims
at designing a novel generic WSN simulation system independent of specific
hardware platforms but taking into account all hardware entities and sensor
network events for testing and analysing the behaviour of a pragmatic WSN system. Details of the implementation
are provided as well as a preliminary validation of the simulator in C#
involving motes based on two different hardware platforms, randomly deployed
over WSN motes. |
Full
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