Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/6828
Título: Distributed Forest Fire Monitoring Using Wireless Sensor Networks
Autor: Serna, M. Ángeles
Casado, Rafael
Bermúdez, Aurelio
Pereira, Nuno
Tennina, Stefano
Palavras-chave: Wireless sensor networks
Pervasive computing
Phenomena monitoring
Data processing
Forest fire modeling
Data: 2015
Editora: Hindawi
Relatório da Série N.º: International Journal of Distributed Sensor Networks;
Resumo: Disaster management is one of the most relevant application fields of wireless sensor networks. In this application, the role of the sensor network usually consists of obtaining a representation or a model of a physical phenomenon spreading through the affected area. In this work we focus on forest firefighting operations, proposing three fully distributed ways for approximating the actual shape of the fire. In the simplest approach, a circular burnt area is assumed around each node that has detected the fire and the union of these circles gives the overall fire’s shape. However, as this approach makes an intensive use of the wireless sensor network resources, we have proposed to incorporate two in-network aggregation techniques, which do not require considering the complete set of fire detections. The first technique models the fire by means of a complex shape composed of multiple convex hulls representing different burning areas, while the second technique uses a set of arbitrary polygons. Performance evaluation of realistic fire models on computer simulations reveals that the method based on arbitrary polygons obtains an improvement of 20% in terms of accuracy of the fire shape approximation, reducing the overhead in-network resources to 10% in the best case.
Peer review: yes
URI: http://hdl.handle.net/10400.22/6828
DOI: http://dx.doi.org/10.1155/2015/964564
Versão do Editor: http://www.hindawi.com/journals/ijdsn/2015/964564/
Aparece nas colecções:ISEP – CISTER – Artigos

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