Design of a LoRa-Based Multisensor Device for the Internet of Animals

The monitoring of wildlife through advanced tracking technologies is crucial for ecological research, conservation efforts, and the study of animal behavior. However, most existing tracking devices are primarily designed for positional data collection, with limited integration of biologically relevant sensors. This work presents the design, development, and evaluation of a low-power, multisensor tracking device tailored for long-term wildlife monitoring. Our device integrates a comprehensive set of sensors and novel methodologies to acquire additional information about animals, including monitoring heart rate and respiration in free-ranging individuals. We optimize energy consumption through an advanced power management system, leveraging energy harvesting to ensure long-term operational sustainability. We validate the system with extensive laboratory tests on energy efficiency and data accuracy. This research paves the way for next-generation wildlife tracking devices capable of supporting more comprehensive studies in conservation biology and environmental monitoring.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-06-06
DOI
https://doi.org/10.1109/jiot.2025.3574494
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
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article

Design of a LoRa-Based Multisensor Device for the Internet of Animals

Giuliano Colosimo, Francesca Mastrangeli, Gabriele Gentile, George H. Waters et al.
IEEE Internet of Things Journal
IoT Networks and Protocols
article

Design of a LoRa-Based Multisensor Device for the Internet of Animals

Giuliano Colosimo, Francesca Mastrangeli, Gabriele Gentile, George H. Waters, Alexandro Catini, Glenn P. Gerber, Rosamaria Capuano, Corrado Di Natale, Pierpaolo Loreti, Lorenzo Bracciale, Valerio Allegra, Massimiliano De Luca, Jane Haakonson
article en

Abstract

The monitoring of wildlife through advanced tracking technologies is crucial for ecological research, conservation efforts, and the study of animal behavior. However, most existing tracking devices are primarily designed for positional data collection, with limited integration of biologically relevant sensors. This work presents the design, development, and evaluation of a low-power, multisensor tracking device tailored for long-term wildlife monitoring. Our device integrates a comprehensive set of sensors and novel methodologies to acquire additional information about animals, including monitoring heart rate and respiration in free-ranging individuals. We optimize energy consumption through an advanced power management system, leveraging energy harvesting to ensure long-term operational sustainability. We validate the system with extensive laboratory tests on energy efficiency and data accuracy. This research paves the way for next-generation wildlife tracking devices capable of supporting more comprehensive studies in conservation biology and environmental monitoring.

IEEE Internet of Things JournalVol. 12(15)
University of Rome Tor Vergata (IT), University College of the Cayman Islands (KY), Zoological Society of San Diego (US), St. Augustine College (US), Institute of Structure of Matter (IT), Truman Bodden Law School (KY), Institute of Marine Engineering (IT), National Research Council (IT), Digital Research Alliance of Canada
Openalex Percentile: Top 89%
IoT Networks and Protocols
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