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Published in: EURASIP Journal on Wireless Communications and Networking 1/2011

Open Access 01-12-2011 | Research Article

CARNIVORE: A Disruption-Tolerant System for Studying Wildlife

Authors: Matthew Rutishauser, Vladislav Petkov, Jay Boice, Katia Obraczka, Patrick Mantey, Terrie M. Williams, Christopher C. Wilmers

Published in: EURASIP Journal on Wireless Communications and Networking | Issue 1/2011

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Abstract

We present CARNIVORE, a system for in situ, unobtrusive monitoring of cryptic, difficult-to-catch/observe wildlife in their natural habitat. CARNIVORE is a network of mobile and static nodes with sensing, processing, storage, and wireless communication capabilities. CARNIVORE's compact, low-power, mobile animal-borne nodes collect sensor data and transmit it to static nodes, which then relay it to the Internet. Depending on the wildlife being studied, the network can be quite sparse and therefore disconnected frequently for arbitrarily long periods of time. To support "disconnected operation", CARNIVORE uses an "opportunistic routing" approach taking advantage of every encounter between nodes (mobile-to-mobile and mobile-to-static) to propagate data. With a lifespan of 50–100 days, a CARNIVORE mobile node, outfitted on a collar, collects and transmits 1 GB of data compared to 450 kB of data from comparable commercially available wildlife collars. Each collar records 3-axis accelerometer and GPS data to infer animal behavior and energy consumption.Testing in both laboratory and free-range settings with domestic dogs shows that galloping and trotting behavior can be identified. Data collected from first deployments on mountain lions (Puma concolor) near Santa Cruz, CA, USA show that the system is a viable and useful tool for wildlife research.

Publisher note

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Metadata
Title
CARNIVORE: A Disruption-Tolerant System for Studying Wildlife
Authors
Matthew Rutishauser
Vladislav Petkov
Jay Boice
Katia Obraczka
Patrick Mantey
Terrie M. Williams
Christopher C. Wilmers
Publication date
01-12-2011
Publisher
Springer International Publishing
DOI
https://doi.org/10.1155/2011/968046

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