Optimum sensors allocation for a forest fires monitoring system

Detalhes bibliográficos
Autor(a) principal: Azevedo, Beatriz Flamia
Data de Publicação: 2021
Outros Autores: Brito, Thadeu, Lima, José, Pereira, Ana I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/27402
Resumo: Every year forest fires destroy millions of hectares of land worldwide. Detecting forest fire ignition in the early stages is fundamental to avoid forest fires catastrophes. In this approach, Wireless Sensor Network is explored to develop a monitoring system to send alert to authorities when a fire ignition is detected. The study of sensors allocation is essential in this type of monitoring system since its performance is directly related to the position of the sensors, which also defines the coverage region. In this paper, a mathematical model is proposed to solve the sensor allocation problem. This model considers the sensor coverage limitation, the distance, and the forest density interference in the sensor reach. A Genetic Algorithm is implemented to solve the optimisation model and minimise the forest fire hazard. The results obtained are promising since the algorithm could allocate the sensor avoiding overlaps and minimising the total fire hazard value for both regions considered.
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spelling Optimum sensors allocation for a forest fires monitoring systemForest firesWireless sensor networkOptimisationGenetic algorithmDecision supportEvery year forest fires destroy millions of hectares of land worldwide. Detecting forest fire ignition in the early stages is fundamental to avoid forest fires catastrophes. In this approach, Wireless Sensor Network is explored to develop a monitoring system to send alert to authorities when a fire ignition is detected. The study of sensors allocation is essential in this type of monitoring system since its performance is directly related to the position of the sensors, which also defines the coverage region. In this paper, a mathematical model is proposed to solve the sensor allocation problem. This model considers the sensor coverage limitation, the distance, and the forest density interference in the sensor reach. A Genetic Algorithm is implemented to solve the optimisation model and minimise the forest fire hazard. The results obtained are promising since the algorithm could allocate the sensor avoiding overlaps and minimising the total fire hazard value for both regions considered.This research received no external funding.Biblioteca Digital do IPBAzevedo, Beatriz FlamiaBrito, ThadeuLima, JoséPereira, Ana I.2023-03-02T12:22:20Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/27402engAzevedo, Beatriz Flamia; Brito, Thadeu; Lima, José; Pereira, Ana I. (2021). Optimum sensors allocation for a forest fires monitoring system. Forests. ISSN 1999-4907. 12:41999-4907https://doi.org/10.3390/f12040453info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T11:00:25Zoai:bibliotecadigital.ipb.pt:10198/27402Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:17:33.860580Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Optimum sensors allocation for a forest fires monitoring system
title Optimum sensors allocation for a forest fires monitoring system
spellingShingle Optimum sensors allocation for a forest fires monitoring system
Azevedo, Beatriz Flamia
Forest fires
Wireless sensor network
Optimisation
Genetic algorithm
Decision support
title_short Optimum sensors allocation for a forest fires monitoring system
title_full Optimum sensors allocation for a forest fires monitoring system
title_fullStr Optimum sensors allocation for a forest fires monitoring system
title_full_unstemmed Optimum sensors allocation for a forest fires monitoring system
title_sort Optimum sensors allocation for a forest fires monitoring system
author Azevedo, Beatriz Flamia
author_facet Azevedo, Beatriz Flamia
Brito, Thadeu
Lima, José
Pereira, Ana I.
author_role author
author2 Brito, Thadeu
Lima, José
Pereira, Ana I.
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Azevedo, Beatriz Flamia
Brito, Thadeu
Lima, José
Pereira, Ana I.
dc.subject.por.fl_str_mv Forest fires
Wireless sensor network
Optimisation
Genetic algorithm
Decision support
topic Forest fires
Wireless sensor network
Optimisation
Genetic algorithm
Decision support
description Every year forest fires destroy millions of hectares of land worldwide. Detecting forest fire ignition in the early stages is fundamental to avoid forest fires catastrophes. In this approach, Wireless Sensor Network is explored to develop a monitoring system to send alert to authorities when a fire ignition is detected. The study of sensors allocation is essential in this type of monitoring system since its performance is directly related to the position of the sensors, which also defines the coverage region. In this paper, a mathematical model is proposed to solve the sensor allocation problem. This model considers the sensor coverage limitation, the distance, and the forest density interference in the sensor reach. A Genetic Algorithm is implemented to solve the optimisation model and minimise the forest fire hazard. The results obtained are promising since the algorithm could allocate the sensor avoiding overlaps and minimising the total fire hazard value for both regions considered.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
2023-03-02T12:22:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/27402
url http://hdl.handle.net/10198/27402
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Azevedo, Beatriz Flamia; Brito, Thadeu; Lima, José; Pereira, Ana I. (2021). Optimum sensors allocation for a forest fires monitoring system. Forests. ISSN 1999-4907. 12:4
1999-4907
https://doi.org/10.3390/f12040453
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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