%0 Journal Article 
%A González Castaño, Francisco Javier
%A Vales Alonso, Javier
%A Costa Montenegro, Enrique
%A López Matencio Pérez, Pablo Antonio
%A Vicente Carrasco, Francisco
%A Parrado García, Francisco Javier
%A Gil Castiñeira, Felipe
%A Costas Rodríguez, Sergio
%T Acoustic sensor planning for gunshot location in national parks: a pareto front approach
%D 2009
%@ 1424-8220
%U http://hdl.handle.net/10317/1630
%X 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 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.
%K Ingeniería Telemática
%K Detección acústica
%K Ubicación del sonido
%K Sensor de sincronización
%K Sensor de planificación de la red
%K Optimización de derivados libres
%K Pareto frontal
%K Acoustic sensing
%K Sound location
%K Sensor synchronization
%K Sensor network planning
%K Derivative-free optimization
%K Pareto front
%~ GOEDOC, SUB GOETTINGEN