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      Acoustic Sensor Planning for Gunshot Location in National Parks: A Pareto Front Approach

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          Abstract

          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 Cabaneros 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.

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          Scream and gunshot detection and localization for audio-surveillance systems

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            Acoustics of wood

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              Networking Wireless Sensors

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                2009
                26 November 2009
                : 9
                : 12
                : 9493-9512
                Affiliations
                [1 ] Fundacion Centro Tecnologico de las Telecomunicaciones de Galicia (Gradiant), Campus As Lagoas/Marcosende, Vigo, Spain; E-Mail: scostas@ 123456gradiant.org (S.C.-R.)
                [2 ] Telematics Engineering Department, University of Vigo, Spain; E-Mails: kike@ 123456det.uvigo.es (E.C.-M.); xil@ 123456det.uvigo.es (F.G.-C.)
                [3 ] Information and Communications Technologies Department, Technical University of Cartagena, Spain; E-Mails: javier.vales@ 123456upct.es (J.V.A.); pablo.lopez@ 123456upct.es (P.L.-M.); francisco.vicente@ 123456upct.es (F.V.-C.); fco.parrado@ 123456upct.es (F.J.P.-G.)
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: javier@ 123456det.uvigo.es ; Tel.: +34-98-681-3788; Fax: +34-98-681-2116.
                Article
                sensors-09-09493
                10.3390/91209493
                3267183
                22303135
                c89e1d25-1134-4967-a46e-19c6dca52918
                © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 9 October 2009
                : 13 November 2009
                : 16 November 2009
                Categories
                Article

                Biomedical engineering
                acoustic sensing,sensor network planning,sensor synchronization,sound location,pareto front,derivative-free optimization

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