Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging

Abstract Biologging devices are deployed on animals to collect ultra‐fine‐scale movement data that reveal subsecond patterns in locomotion or long‐term patterns in motion and space use. Often these two data types, although complementary, are rarely collected within the same study, given the limiting...

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Published in:Methods in Ecology and Evolution
Main Authors: Wild, Timm A., Wikelski, Martin, Tyndel, Stephen, Alarcón‐Nieto, Gustavo, Klump, Barbara C., Aplin, Lucy M., Meboldt, Mirko, Williams, Hannah J.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
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Online Access:http://dx.doi.org/10.1111/2041-210x.13798
https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13798
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.13798
https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13798
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spelling crwiley:10.1111/2041-210x.13798 2024-09-30T14:33:36+00:00 Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging Wild, Timm A. Wikelski, Martin Tyndel, Stephen Alarcón‐Nieto, Gustavo Klump, Barbara C. Aplin, Lucy M. Meboldt, Mirko Williams, Hannah J. 2022 http://dx.doi.org/10.1111/2041-210x.13798 https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13798 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.13798 https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13798 en eng Wiley http://creativecommons.org/licenses/by-nc-nd/4.0/ Methods in Ecology and Evolution volume 14, issue 1, page 87-102 ISSN 2041-210X 2041-210X journal-article 2022 crwiley https://doi.org/10.1111/2041-210x.13798 2024-09-05T05:05:32Z Abstract Biologging devices are deployed on animals to collect ultra‐fine‐scale movement data that reveal subsecond patterns in locomotion or long‐term patterns in motion and space use. Often these two data types, although complementary, are rarely collected within the same study, given the limiting factors of memory space, power requirements and the need to retrieve stored data from animals. Biologging requires a revolutionary advancement in data networking to overcome these restrictions that constrain big data collection; for the continuous recording and remote download of fine‐scale movement and environmental data, from long‐term deployments and multiple individuals. Here, we adopt a strategy from the Internet of Things and develop the use of Wi‐Fi as a solution for big data biologging. Our ‘WildFi’ tag uses pre‐existing, or easy‐to‐set‐up, infrastructure in smartphones and Wi‐Fi gateways. We demonstrate the power of memory management and an embedded modular software architecture for functionality, including collective data retrieval at multiple gateways. We find that Wi‐Fi, together with smart embedded software, increases the retrieval efficiency of biologging data by orders of magnitude compared to other available systems: with a transmission speed of 230 kByte/s and range of ≤200 m that is 11 times faster than Bluetooth low energy and >3000 times faster than LoRaWAN. Case studies on a domestic dog ( Canis lupus familiaris ), aviary‐housed cockatiels ( Nymphicus hollandicus ) and free‐roaming pangolins ( Smutsia temminckii ) demonstrate the functionality of the WildFi tag for remote and robust autonomous Wi‐Fi data transmission under a range of conditions. Modularity in software and hardware allows for project‐specific tailoring beyond reconfiguring sampling parameters of a biologger, which we encourage with open‐source sharing of our architecture design. Enhanced communication between animal‐attached devices, Wi‐Fi infrastructure and smartphones, alongside smart and collaborative data retrieval, eases ... Article in Journal/Newspaper Canis lupus Wiley Online Library Methods in Ecology and Evolution 14 1 87 102
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Biologging devices are deployed on animals to collect ultra‐fine‐scale movement data that reveal subsecond patterns in locomotion or long‐term patterns in motion and space use. Often these two data types, although complementary, are rarely collected within the same study, given the limiting factors of memory space, power requirements and the need to retrieve stored data from animals. Biologging requires a revolutionary advancement in data networking to overcome these restrictions that constrain big data collection; for the continuous recording and remote download of fine‐scale movement and environmental data, from long‐term deployments and multiple individuals. Here, we adopt a strategy from the Internet of Things and develop the use of Wi‐Fi as a solution for big data biologging. Our ‘WildFi’ tag uses pre‐existing, or easy‐to‐set‐up, infrastructure in smartphones and Wi‐Fi gateways. We demonstrate the power of memory management and an embedded modular software architecture for functionality, including collective data retrieval at multiple gateways. We find that Wi‐Fi, together with smart embedded software, increases the retrieval efficiency of biologging data by orders of magnitude compared to other available systems: with a transmission speed of 230 kByte/s and range of ≤200 m that is 11 times faster than Bluetooth low energy and >3000 times faster than LoRaWAN. Case studies on a domestic dog ( Canis lupus familiaris ), aviary‐housed cockatiels ( Nymphicus hollandicus ) and free‐roaming pangolins ( Smutsia temminckii ) demonstrate the functionality of the WildFi tag for remote and robust autonomous Wi‐Fi data transmission under a range of conditions. Modularity in software and hardware allows for project‐specific tailoring beyond reconfiguring sampling parameters of a biologger, which we encourage with open‐source sharing of our architecture design. Enhanced communication between animal‐attached devices, Wi‐Fi infrastructure and smartphones, alongside smart and collaborative data retrieval, eases ...
format Article in Journal/Newspaper
author Wild, Timm A.
Wikelski, Martin
Tyndel, Stephen
Alarcón‐Nieto, Gustavo
Klump, Barbara C.
Aplin, Lucy M.
Meboldt, Mirko
Williams, Hannah J.
spellingShingle Wild, Timm A.
Wikelski, Martin
Tyndel, Stephen
Alarcón‐Nieto, Gustavo
Klump, Barbara C.
Aplin, Lucy M.
Meboldt, Mirko
Williams, Hannah J.
Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging
author_facet Wild, Timm A.
Wikelski, Martin
Tyndel, Stephen
Alarcón‐Nieto, Gustavo
Klump, Barbara C.
Aplin, Lucy M.
Meboldt, Mirko
Williams, Hannah J.
author_sort Wild, Timm A.
title Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging
title_short Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging
title_full Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging
title_fullStr Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging
title_full_unstemmed Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging
title_sort internet on animals: wi‐fi‐enabled devices provide a solution for big data transmission in biologging
publisher Wiley
publishDate 2022
url http://dx.doi.org/10.1111/2041-210x.13798
https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13798
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.13798
https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13798
genre Canis lupus
genre_facet Canis lupus
op_source Methods in Ecology and Evolution
volume 14, issue 1, page 87-102
ISSN 2041-210X 2041-210X
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1111/2041-210x.13798
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