Ponencia
Computational intelligence applied to wildfire prediction using wireless sensor networks
Autor/es | Gasull, V.G.
Larios Marín, Diego Francisco Barbancho Concejero, Julio León de Mora, Carlos Obaidat, Mohammad S. |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2011 |
Fecha de depósito | 2021-03-04 |
Publicado en |
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ISBN/ISSN | 978-989-8565-82-2 |
Resumen | In this paper we present a novel algorithm, implemented in a wireless sensor network environment, for the
study of fire in a natural environment. This algorithm can offer two kinds of information: the risk of a fire
and, ... In this paper we present a novel algorithm, implemented in a wireless sensor network environment, for the study of fire in a natural environment. This algorithm can offer two kinds of information: the risk of a fire and, in case of an active fire, the propagation direction of the flames and their velocity. This information is useful for fire rangers in order to obtain escape ways and determine strategies for putting off the fire. The evaluation of the proposal algorithm is performed using an ad-hoc simulator. The preliminary results obtained show that the proposed algorithm is a promising method that can be used to solve the most common problems related to fire control and detection. |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | P07-TIC-02476 |
Cita | Gasull, V.G., Larios Marín, D.F., Barbancho Concejero, J., León de Mora, C. y Obaidat, M.S. (2011). Computational intelligence applied to wildfire prediction using wireless sensor networks. En DCNET 2011: International Conference on Data Communication Networking Sevilla, España: IEEE Computer Society. |
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