Published May 14, 2018
| Version v1
Publication
Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana
Description
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.
Abstract
Junta de Andalucía P12-TIC-1300Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/74560
- URN
- urn:oai:idus.us.es:11441/74560