Automated wildlife monitoring using self-configuring sensor networks deployed in natural habitats

Vladimir Trifa, Lewis Girod, Travis Collier, Daniel T Blumstein, Charles E. Taylor
International Symposium on Artificial Life and Robotics (AROB07), Beppu, Japan, January 2007

To understand the complex interactions among animals within an ecosystem, biologists need to be able to track their location and social interactions. There are a variety of factors that make this difficult. We propose using adaptive, embedded networked sensing technologies to develop an efficient means for wildlife monitoring. This paper surveys our research; we demonstrate how a self-organizing system can efficiently conduct real-time acoustic source detection and localization using distributed embedded devices.

[PDF (438KB)]
Best Paper

Bibtex Entry:

@inproceedings{trifa2007automated,
   author =       "Vladimir Trifa and Lewis Girod and Travis Collier and Daniel T Blumstein and Charles E. Taylor",
   title =        "{Automated wildlife monitoring using self-configuring sensor networks deployed in natural habitats}",
   booktitle =    {International Symposium on Artificial Life and Robotics (AROB07)},
   year =         {2007},
   month =        {January},
   address =      {Beppu, Japan}
}