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  5. CupCarbon: A Multi-Agent and Discrete Event Wireless Sensor Network Design and Simulation Tool
 
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CupCarbon: A Multi-Agent and Discrete Event Wireless Sensor Network Design and Simulation Tool

Author(s)
Mehdi, Kamal  
Lounis, Massinissa  
Bounceur, Ahcène  
Kechadi, Tahar  
Uri
http://hdl.handle.net/10197/8322
Date Issued
2014-03-19
Date Available
2017-02-06T13:35:24Z
Abstract
This paper presents the first version of a Wireless Sensor Network simulator, called CupCarbon. It is a multi-agent and discrete event Wireless Sensor Network (WSN) simulator. Networks can be designed and prototyped in an ergonomic user-friendly interface using the OpenStreetMap (OSM) framework by deploying sensors directly on the map. It can be used to study the behaviour of a network and its costs. The main objectives of CupCarbon are both educational and scientific. It can help trainers to explain the basic concepts and how sensor networks work and it can help scientists to test their wireless topologies, protocols, etc. The current version can be used only to study the power diagram of each sensor and the overall network. The power diagrams can be calculated and displayed as a function of the simulated time. Prototyping networks is more realistic compared to existing simulators.
Type of Material
Conference Publication
Publisher
Institute for Computer Science, Social Informatics and Telecommunications Engineering (ICST)
Start Page
126
End Page
131
Subjects

Machine learning

Statistics

Wireless sensor netwo...

Simulator

Multi-agent system

Discrete event simula...

OpenStreetMap

Mobility

DOI
10.4108/icst.simutools.2014.254811
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques
Conference Details
7th International ICST Conference on Simulation Tools and Techniques, Lisbon, Portugal, 17-19 March 2014
ISBN
9781631900075
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

3.77 MB

Format

Adobe PDF

Checksum (MD5)

2f53229304d972d9250345df697f49e2

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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