Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/85216

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dc.contributor.authorAzevedo, Beatriz Flamiapor
dc.contributor.authorAlvelos, Filipe Pereira epor
dc.contributor.authorRocha, Ana Maria A. C.por
dc.contributor.authorBrito, Thadeupor
dc.contributor.authorLima, Josépor
dc.contributor.authorPereira, Ana I.por
dc.date.accessioned2023-06-27T09:40:56Z-
dc.date.available2023-06-27T09:40:56Z-
dc.date.issued2023-01-01-
dc.identifier.isbn978-3-031-20787-7-
dc.identifier.issn2194-1009-
dc.identifier.urihttps://hdl.handle.net/1822/85216-
dc.description.abstractForests worldwide have been devastated by fires. Forest fires cause incalculable damage to fauna and flora. In addition, a forest fire can lead to the death of people and financial damage in general, among other problems. To avoid wildfire catastrophes is fundamental to detect fire ignitions in the early stages, which can be achieved by monitoring ignitions through sensors. This work presents an integer programming approach to decide where to locate such sensors to maximize the coverage provided by them, taking into account different types of sensors, fire hazards, and technological and budget constraints. We tested the proposed approach in a real-world forest with around 7500 locations to be covered and about 1500 potential locations for sensors, showing that it allows obtaining optimal solutions in less than 20 min.por
dc.description.sponsorshipThis work has been supported by FCT Fundação para a Ciência e Tecnologia within the R&D Units Project Scope UIDB/00319/2020 and within project PCIF/GRF/0141/2019 “O3F - An Optimization Framework to reduce Forest Fire” and also the project UIDB/05757/2020 and Forest Alert Monitoring System (SAFe) Project through PROMOVE - Funda¸c˜ao La Caixa. Beatriz Flamia Azevedo is supported by FCT Grant Reference SFRH/BD/07427/2021, Thadeu Brito was supported by FCT PhD grant SFRH/BD/08598/2020.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PCIF%2FGRF%2F0141%2F2019/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PTpor
dc.relationSFRH/BD/07427/2021por
dc.relationSFRH/BD/08598/2020por
dc.rightsopenAccesspor
dc.subjectForest firespor
dc.subjectGeographic information system (GIS)por
dc.subjectInteger programmingpor
dc.subjectSensors locationpor
dc.subjectTechnological and budget limitationspor
dc.titleAn integer programming approach for sensor location in a forest fire monitoring systempor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-031-20788-4_2por
oaire.citationStartPage23por
oaire.citationEndPage35por
oaire.citationVolume411por
dc.date.updated2023-06-27T00:11:43Z-
dc.identifier.doi10.1007/978-3-031-20788-4_2por
dc.identifier.eisbn978-3-031-20788-4-
sdum.export.identifier12614-
sdum.journalSpringer Proceedings in Mathematics and Statisticspor
sdum.conferencePublicationCongress of APDIO, the Portuguese Operational Research Society - IO 2021por
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