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dc.contributor.authorGonzález Castaño, Francisco Javier 
dc.contributor.authorVales Alonso, Javier 
dc.contributor.authorCosta Montenegro, Enrique 
dc.contributor.authorLópez Matencio Pérez, Pablo Antonio 
dc.contributor.authorVicente Carrasco, Francisco 
dc.contributor.authorParrado García, Francisco Javier 
dc.contributor.authorGil Castiñeira, Felipe 
dc.contributor.authorCostas Rodríguez, Sergio
dc.identifier.citationGONZÁLEZ 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 1424-8220eng
dc.description.abstractIn 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 targets, i.e., coverage and cost. We model planning as an unconstrained problem with two objective functions. We determine a set of candidate solutions of interest by combining a derivative-free descent method we have recently proposed with a Pareto front approach. The results are clearly superior to random seeding in a realistic simulation scenario.eng
dc.description.sponsorshipThis work has been partly supported by Spanish grants DEP2006-56158-C03-01/02/03 andTEC2007-67966-C03-01/02 (CON-PARTE).eng
dc.publisherMDPI AGeng
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.titleAcoustic sensor planning for gunshot location in national parks: a pareto front approacheng
dc.subject.otherIngeniería Telemáticaeng
dc.subjectDetección acústicaeng
dc.subjectUbicación del sonidoeng
dc.subjectSensor de sincronizacióneng
dc.subjectSensor de planificación de la redeng
dc.subjectOptimización de derivados libreseng
dc.subjectPareto frontaleng
dc.subjectAcoustic sensingeng
dc.subjectSound locationeng
dc.subjectSensor synchronizationeng
dc.subjectSensor network planningeng
dc.subjectDerivative-free optimizationeng
dc.subjectPareto fronteng
dc.contributor.investgroupGrupo Ingeniería Telemática (GIT)

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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España