Wireless sensor network for forest fire detection
| dc.creator | Varela, Noel | |
| dc.creator | Díaz-Martinez, Jorge L | |
| dc.creator | Ospino, Adalberto | |
| dc.creator | Lizardo Zelaya, Nelson Alberto | |
| dc.date.accessioned | 2021-01-04T21:15:02Z | |
| dc.date.available | 2021-01-04T21:15:02Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 1877-0509 | |
| dc.identifier.uri | https://hdl.handle.net/11323/7652 | |
| dc.description.abstract | Some methods for fire detection include monitoring from watch towers and the use of satellite images [1] [2]. Unfortunately, these are not efficient due to several reasons, such as high infrastructure costs (sophisticated equipment), the fact that they require a large number of trained personnel and that they make real-time monitoring difficult, since when the phenomenon is detected, its speed of propagation has produced uncontrollable levels of damage. This paper proposes a method for detecting forest fires, using a network of wireless sensors and information fusion methods. | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.language.iso | eng | spa |
| dc.publisher | Corporación Universidad de la Costa | spa |
| dc.rights | CC0 1.0 Universal | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
| dc.source | Procedia Computer Science | spa |
| dc.subject | Data analysis | spa |
| dc.subject | Wireless sensor network | spa |
| dc.subject | Forest fire detection | spa |
| dc.title | Wireless sensor network for forest fire detection | spa |
| dc.type | article | spa |
| dcterms.references | [1] Noureddine, H., & Bouabdellah, K. (2020). Field Experiment Testbed for Forest Fire Detection using Wireless Multimedia Sensor Network. International Journal of Sensors Wireless Communications and Control, 10(1), 3-14. | spa |
| dcterms.references | [2] Grover, K., Kahali, D., Verma, S., & Subramanian, B. (2020). WSN-Based System for Forest Fire Detection and Mitigation. In Emerging Technologies for Agriculture and Environment (pp. 249-260). Springer, Singapore. | spa |
| dcterms.references | [3] Chauhan, A., Semwal, S., & Chawhan, R. (2013, December). Artificial neural network-based forest fire detection system using wireless sensor network. In 2013 Annual IEEE India Conference (INDICON) (pp. 1-6). IEEE. | spa |
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| dcterms.references | [8] Zhang, J., Li, W., Yin, Z., Liu, S., & Guo, X. (2009, May). Forest fire detection system based on wireless sensor network. In 2009 4th IEEE conference on industrial electronics and applications (pp. 520-523). IEEE. | spa |
| dcterms.references | [9] Aliady, W. A., & Al-Ahmadi, S. A. (2019). Energy Preserving Secure Measure Against Wormhole Attack in Wireless Sensor Networks. IEEE Access, 7, 84132-84141. | spa |
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| dcterms.references | [13] Aliady, W. A., & Al-Ahmadi, S. A. (2019). Energy Preserving Secure Measure Against Wormhole Attack in Wireless Sensor Networks. IEEE Access, 7, 84132-84141. | spa |
| dcterms.references | [14] Viloria, A., Hernandez-P, H., Lezama, O. B. P., & Orozco, V. D. (2020). Electric Consumption Pattern from Big Data (pp. 479–485). https://doi.org/10.1007/978-981-15-3125-5_47. | spa |
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| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | spa |
| dc.source.url | https://www.sciencedirect.com/science/article/pii/S1877050920317427 | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.identifier.doi | https://doi.org/10.1016/j.procs.2020.07.061 |
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