Wildfire impact on deterministic deployment of a Wireless Sensor Network by a discrete event simulation
Autor: | J.-F. Santucci, E. de Gentili, Thierry Antoine-Santoni, B. Costa |
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Přispěvatelé: | Sciences pour l'environnement (SPE), Centre National de la Recherche Scientifique (CNRS)-Université Pascal Paoli (UPP), IEEE, Sciences pour l'environnement ( SPE ), Université Pascal Paoli ( UPP ) -Centre National de la Recherche Scientifique ( CNRS ) |
Jazyk: | angličtina |
Rok vydání: | 2008 |
Předmět: |
discrete event simulation
Engineering [ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation DEVS Computational complexity theory business.industry wildfire scenario 010401 analytical chemistry 05 social sciences Real-time computing 01 natural sciences [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 0104 chemical sciences wireless sensors networks Formalism (philosophy of mathematics) Software deployment 0502 economics and business Wireless Network performance Discrete event simulation business Wireless sensor network 050203 business & management |
Zdroj: | Proceedings of the 14th IEEE MediterraneanElectrotechnical Conference, 2008 MELECON 2008. the 14th IEEE MediterraneanElectrotechnical Conference, 2008 MELECON 2008. the 14th IEEE MediterraneanElectrotechnical Conference, 2008 MELECON 2008., 2008, Ajaccio, France. pp.204-209, ⟨10.1109/MELCON.2008.4618435⟩ IEEE. the 14th IEEE MediterraneanElectrotechnical Conference, 2008 MELECON 2008., 2008, Ajaccio, France. IEEE, pp.204-209, 2008, 〈10.1109/MELCON.2008.4618435〉 |
DOI: | 10.1109/MELCON.2008.4618435⟩ |
Popis: | isbn : 978-1-4244-1632-5; International audience; Detecting and providing evolution informations of the wildfire can be a challenge for Wireless Sensor Networks. The network performance is directly related to the placement of the sensors within the field of interest. In this paper, we address the problem of wireless sensor deployment, for the purpose of following wildfire phenomenon. Based on a discrete event simulation using DEVS formalism, we show that the complexity of the fire position estimation is dependant of network deployement. We test four strategies of deployement and we show the limit of deterministic deployment in simple wildfire scenario. |
Databáze: | OpenAIRE |
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