The study and monitoring of wildlife has always
been a subject of great interest. Studying the behavior of wild
animals is a difficult task due to the difficulties of tracking and
classifying their actions. Nowadays, technology allows designing
low-cost systems that make these tasks easier to carry out,
and some of these systems produce good results; however, none
of them obtains a high-accuracy classification because of the lack
of information. Doñana National Park is a very rich environment
with various endangered animal species. Thereby, this park
requires a more accurate and efficient system of monitoring
to act quickly against animal behaviors that may endanger
certain species. In this letter, we propose a hierarchical, wireless
sensor network installed in this park, to collect information
about animals’ behaviors using intelligent devices placed on
them which contain a neural network implementation to classify
their behavior based on sensory information. Once a behavior is
detected, the network redirects this information to an external
database for further treatment. This solution reduces power
consumption and facilitates animals’ behavior monitoring for
biologists.Junta de Andalucía P12-TIC-130
