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dc.contributor.author | Molina Picó, Antonio | es_ES |
dc.contributor.author | Cuesta Frau, David | es_ES |
dc.contributor.author | Araujo, Álvaro | es_ES |
dc.contributor.author | Alejandre, Javier | es_ES |
dc.contributor.author | Rozas, Alba | es_ES |
dc.date.accessioned | 2017-06-15T10:59:25Z | |
dc.date.available | 2017-06-15T10:59:25Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1687-725X | |
dc.identifier.uri | http://hdl.handle.net/10251/82883 | |
dc.description.abstract | A wildland fire is an uncontrolled fire that occurs mainly in forest areas, although it can also invade urban or agricultural areas. Among the main causes of wildfires, human factors, either intentional or accidental, are the most usual ones. The number and impact of forest fires are expected to grow as a consequence of the global warming. In order to fight against these disasters, it is necessary to adopt a comprehensive, multifaceted approach that enables a continuous situational awareness and instant responsiveness. This paper describes a hierarchical wireless sensor network aimed at early fire detection in risky areas, integrated with the fire fighting command centres, geographical information systems, and fire simulators. This configuration has been successfully tested in two fire simulations involving all the key players in fire fighting operations: fire brigades, communication systems, and aerial, coordination, and land means. | es_ES |
dc.description.sponsorship | This work has been developed under the framework of the research project PROMETEO, CEN-20101010, funded by the Centre for the Technological Industrial Development (CDTI), Spanish Ministerio de Economia y Competitividad. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Hindawi Publishing Corporation | es_ES |
dc.relation.ispartof | Journal of Sensors | es_ES |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1155/2016/8325845 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//CEN-20101010/ES/TECNOLOGÍAS PARA EL COMBATE INTEGRAL CONTRA INCENDIOS FORESTALES Y PARA LA CONSERVACIÓN DE NUESTROS BOSQUES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi | es_ES |
dc.description.bibliographicCitation | Molina Picó, A.; Cuesta Frau, D.; Araujo, Á.; Alejandre, J.; Rozas, A. (2016). Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network. Journal of Sensors. (8325845):1-8. https://doi.org/10.1155/2016/8325845 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1155/2016/8325845 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 8 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.issue | 8325845 | es_ES |
dc.relation.senia | 327820 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Centro para el Desarrollo Tecnológico Industrial | es_ES |