Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Sensors 2009, 9(12), 9493-9512; doi:10.3390/91209493
Article

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

1,2,* , 3
, 2
, 3
, 3
, 3
, 2
 and 1
Received: 9 October 2009; in revised form: 13 November 2009 / Accepted: 16 November 2009 / Published: 26 November 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain)
View Full-Text   |   Download PDF [888 KB, uploaded 21 June 2014]   |   Browse Figures
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 Cabañeros 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.
Keywords: acoustic sensing; sound location; sensor synchronization; sensor network planning; derivative-free optimization; Pareto front acoustic sensing; sound location; sensor synchronization; sensor network planning; derivative-free optimization; Pareto front
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

González-Castaño, F.J.; Vales Alonso, J.; Costa-Montenegro, E.; López-Matencio, P.; Vicente-Carrasco, F.; Parrado-García, F.J.; Gil-Castiñeira, F.; Costas-Rodríguez, S. Acoustic Sensor Planning for Gunshot Location in National Parks: A Pareto Front Approach. Sensors 2009, 9, 9493-9512.

AMA Style

González-Castaño FJ, Vales Alonso J, Costa-Montenegro E, López-Matencio P, Vicente-Carrasco F, Parrado-García FJ, Gil-Castiñeira F, Costas-Rodríguez S. Acoustic Sensor Planning for Gunshot Location in National Parks: A Pareto Front Approach. Sensors. 2009; 9(12):9493-9512.

Chicago/Turabian Style

González-Castaño, Francisco Javier; Vales Alonso, Javier; Costa-Montenegro, Enrique; López-Matencio, Pablo; Vicente-Carrasco, Francisco; Parrado-García, Francisco J.; Gil-Castiñeira, Felipe; Costas-Rodríguez, Sergio. 2009. "Acoustic Sensor Planning for Gunshot Location in National Parks: A Pareto Front Approach." Sensors 9, no. 12: 9493-9512.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert