Acoustic sensor planning for gunshot location in national parks: a pareto front approach
Autor
González Castaño, Francisco Javier; Vales Alonso, Javier; Costa Montenegro, Enrique; López Matencio Pérez, Pablo Antonio; Vicente Carrasco, Francisco; [et al.]Grupo de investigación
Grupo Ingeniería Telemática (GIT)Área de conocimiento
Ingeniería TelemáticaPatrocinadores
This work has been partly supported by Spanish grants DEP2006-56158-C03-01/02/03 andTEC2007-67966-C03-01/02 (CON-PARTE).Fecha de publicación
2009-11-26Editorial
MDPI AGCita bibliográfica
GONZÁLEZ CASTAÑO, Francisco Javier, VALES ALONSO, Javier, COSTA MONTENEGRO, Enriqure, LÓPEZ MATENCIO, Pablo, VICENTE CARRASCO, Francisco, PARRADO GARCÍA, Francisco J., GIL CASTIÑEIRA, Felipe, COSTAS RODRÍGUEZ, Sergio. Acoustic sensor planning for gunshot location in national parks: a pareto front approach. Sensors, 9: 9493 - 9512, 2009. ISSN 1424-8220Revisión por pares
siPalabras clave
Detección acústicaUbicación del sonido
Sensor de sincronización
Sensor de planificación de la red
Optimización de derivados libres
Pareto frontal
Acoustic sensing
Sound location
Sensor synchronization
Sensor network planning
Derivative-free optimization
Pareto front
Resumen
In this paper, we propose a solution for gunshot location in national parks. In Spain
there are agencies such as SEPRONA that fight against poaching with considerable success.
The DiANa project, which is endorsed by Caba˜neros National Park and the SEPRONA
service, proposes a system to automatically detect and locate gunshots. This work presents
its technical aspects related to network design and planning. The system consists of a
network of acoustic sensors that locate gunshots by hyperbolic multi-lateration estimation.
The differences in sound time arrivals allow the computation of a low error estimator of
gunshot location. The accuracy of this method depends on tight sensor clock synchronization,
which an ad-hoc time synchronization protocol provides. On the other hand, since the areas
under surveillance are wide, and electric power is scarce, it is necessary to maximize detection
coverage and minimize system cost at the same time. Therefore, sensor network planning has
two ...
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