Resource efficient data transmission on animals based on machine learning

Fuente: arXiv
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Main Authors: Kerle-Malcharek, Wilhelm, Klein, Karsten, Wikelski, Martin, Schreiber, Falk, Wild, Timm A.
Format: Preprint
Published: 2025
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author Kerle-Malcharek, Wilhelm
Klein, Karsten
Wikelski, Martin
Schreiber, Falk
Wild, Timm A.
author_facet Kerle-Malcharek, Wilhelm
Klein, Karsten
Wikelski, Martin
Schreiber, Falk
Wild, Timm A.
contents Bio-loggers, electronic devices used to track animal behaviour through various sensors, have become essential in wildlife research. Despite continuous improvements in their capabilities, bio-loggers still face significant limitations in storage, processing, and data transmission due to the constraints of size and weight, which are necessary to avoid disturbing the animals. This study aims to explore how selective data transmission, guided by machine learning, can reduce the energy consumption of bio-loggers, thereby extending their operational lifespan without requiring hardware modifications.
format Preprint
id arxiv_https___arxiv_org_abs_2503_10277
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Resource efficient data transmission on animals based on machine learning
Kerle-Malcharek, Wilhelm
Klein, Karsten
Wikelski, Martin
Schreiber, Falk
Wild, Timm A.
Machine Learning
Emerging Technologies
Information Retrieval
Bio-loggers, electronic devices used to track animal behaviour through various sensors, have become essential in wildlife research. Despite continuous improvements in their capabilities, bio-loggers still face significant limitations in storage, processing, and data transmission due to the constraints of size and weight, which are necessary to avoid disturbing the animals. This study aims to explore how selective data transmission, guided by machine learning, can reduce the energy consumption of bio-loggers, thereby extending their operational lifespan without requiring hardware modifications.
title Resource efficient data transmission on animals based on machine learning
topic Machine Learning
Emerging Technologies
Information Retrieval
url https://arxiv.org/abs/2503.10277