| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 983.14 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Forests 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.
Description
Keywords
Fire spread Simulation Fuel bed
Citation
Azevedo, 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. 1-4
Publisher
American Institute of Physics