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Sensor allocation in a forest fire monitoring system: a bi-objective approach

dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorCosta, Lino
dc.contributor.authorBrito, Thadeu
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2024-02-09T12:19:11Z
dc.date.available2024-02-09T12:19:11Z
dc.date.issued2023
dc.description.abstractForests worldwide have been suffering from fires damages, provoking incalculable losses in fauna and flora, economic losses, people and animals’ deaths, among other problems. To avoid forest fires catastrophes, it is fundamental to develop innovative operations, such as a forest fire monitoring system. This work concentrates efforts on defining the optimum sensor allocation in a forest fires monitoring system based on a wireless sensor network. Thus, a bi-objective mathematical model is developed to solve the problem, in which the first objective consists of minimising the forest fire hazard of a given forest region, and the second objective refers to the sensors spreading into this region. The developed mathematical model was solved by genetic algorithm and the results demonstrated that the methodology was capable of presenting suitable solutions for the problem.pt_PT
dc.description.sponsorshipThis work has been supported by Fundação La Caixa and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020 and by SAFe Project through PROMOVE—Fundação La Caixa.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAzevedo, Beatriz Flamia; Costa, Lino; Brito, Thadeu; Lima, José; Pereira, Ana I. (2023). Sensor allocation in a forest fire monitoring system: a bi-objective approach. In International Conference on Numerical Analysis and Applied Mathematics 2021 (ICNAAM). ISSN 0094-243X. 2849:1, p. 1-4pt_PT
dc.identifier.doi10.1063/5.0162252pt_PT
dc.identifier.issn0094-243X
dc.identifier.urihttp://hdl.handle.net/10198/29459
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAmerican Institute of Physicspt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFire spreadpt_PT
dc.subjectSimulationpt_PT
dc.subjectFuel bedpt_PT
dc.titleSensor allocation in a forest fire monitoring system: a bi-objective approachpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage4pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Conference on Numerical Analysis and Applied Mathematics 2021 (ICNAAM)pt_PT
oaire.citation.volume2849pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAzevedo
person.familyNameBrito
person.familyNameLima
person.familyNamePereira
person.givenNameBeatriz Flamia
person.givenNameThadeu
person.givenNameJosé
person.givenNameAna I.
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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