Reliability of IoT Systems for fire detection
dc.contributor.author | Singh, Khushwant | |
dc.contributor.author | Yadav, Mohit | |
dc.contributor.author | Barak, Dheerdhwaj | |
dc.contributor.author | Moreira, Fernando | |
dc.date.accessioned | 2025-03-24T10:43:35Z | |
dc.date.available | 2025-03-24T10:43:35Z | |
dc.date.issued | 2025-03-11 | |
dc.description.abstract | In this paper, a smart IoT system including the software and hardware aspects of its design, as well as its operation in the context of a city or a building, along with its advantages, disadvantages, and potential applications, all with a focus on fire safety have been analyzed. Based on the results of the aforementioned research, it is clear that an IoT-based fire system may be tailored to the specific requirements of each individual situation. The major focus of the study is on the planning and evaluation of a WSN that can detect house fires in their earliest stages. The authors address the crucial issue of giving rapid-fire alerts by including a broad range of sensors in the wireless sensor network. In order to provide precise, real-time fire detection, the wireless sensor network (WSN) is constructed from tiny, low-power sensor devices that have sensors able to sense their surroundings. Using the Global System for Mobile Communications (GSM) to reduce the number of false alarms is one strategy the authors propose for coping with sensor malfunctions. The reliability of IoT (Internet of Things) systems for fire detection has been a topic of interest and continuous improvement. IoT-based fire detection systems have the potential to offer numerous benefits, such as real-time monitoring, remote management, and data-driven insights. However, their reliability depends on several factors, including technology, implementation, and maintenance. This research aids in the enhancement of residential community safety by improving the early detection and prevention of house fires. | |
dc.identifier.citation | Singh, K., Yadav, M., Barak, D., & Moreira, F. (2025). Reliability of IoT Systems for fire detection. In R. Martinho, M. M. C. Cunha, & R. Rijo (Eds.), CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies. Procedia Computer Science, 256(special issue), 63-70. https://doi.org/10.1016/j.procs.2025.02.096. Repositório Institucional UPT. https://hdl.handle.net/11328/6214 | |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | https://hdl.handle.net/11328/6214 | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.hasversion | https://doi.org/10.1016/j.procs.2025.02.096 | |
dc.rights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Smart homes | |
dc.subject | fire | |
dc.subject | Multi-sensor | |
dc.subject | Wireless sensor networks | |
dc.subject | Reliability of IoT system | |
dc.subject.fos | Ciências Naturais - Ciências da Computação e da Informação | |
dc.title | Reliability of IoT Systems for fire detection | |
dc.type | conference paper | |
dcterms.references | https://www.sciencedirect.com/science/article/pii/S1877050925004533?via%3Dihub | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 70 | |
oaire.citation.startPage | 63 | |
oaire.citation.title | CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies | |
oaire.citation.volume | 256 | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.affiliation.name | Universidade Portucalense | |
person.familyName | Moreira | |
person.givenName | Fernando | |
person.identifier.ciencia-id | 7B1C-3A29-9861 | |
person.identifier.orcid | 0000-0002-0816-1445 | |
person.identifier.rid | P-9673-2016 | |
person.identifier.scopus-author-id | 8649758400 | |
relation.isAuthorOfPublication | bad3408c-ee33-431e-b9a6-cb778048975e | |
relation.isAuthorOfPublication.latestForDiscovery | bad3408c-ee33-431e-b9a6-cb778048975e |
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