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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Online Access: | https://doi.org/10.1111/2041-210X.13798 https://doaj.org/article/3caf1c4ab6354d12b399a6a765f60803 |
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ftdoajarticles:oai:doaj.org/article:3caf1c4ab6354d12b399a6a765f60803 2023-08-27T04:08:55+02:00 Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging Timm A. Wild Martin Wikelski Stephen Tyndel Gustavo Alarcón‐Nieto Barbara C. Klump Lucy M. Aplin Mirko Meboldt Hannah J. Williams 2023-01-01T00:00:00Z https://doi.org/10.1111/2041-210X.13798 https://doaj.org/article/3caf1c4ab6354d12b399a6a765f60803 EN eng Wiley https://doi.org/10.1111/2041-210X.13798 https://doaj.org/toc/2041-210X 2041-210X doi:10.1111/2041-210X.13798 https://doaj.org/article/3caf1c4ab6354d12b399a6a765f60803 Methods in Ecology and Evolution, Vol 14, Iss 1, Pp 87-102 (2023) animal movement embedded systems Internet of Things open source sensing telemetry Ecology QH540-549.5 Evolution QH359-425 article 2023 ftdoajarticles https://doi.org/10.1111/2041-210X.13798 2023-08-06T00:47:09Z 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 Directory of Open Access Journals: DOAJ Articles Methods in Ecology and Evolution 14 1 87 102 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
animal movement embedded systems Internet of Things open source sensing telemetry Ecology QH540-549.5 Evolution QH359-425 |
spellingShingle |
animal movement embedded systems Internet of Things open source sensing telemetry Ecology QH540-549.5 Evolution QH359-425 Timm A. Wild Martin Wikelski Stephen Tyndel Gustavo Alarcón‐Nieto Barbara C. Klump Lucy M. Aplin Mirko Meboldt Hannah J. Williams Internet on animals: Wi‐Fi‐enabled devices provide a solution for big data transmission in biologging |
topic_facet |
animal movement embedded systems Internet of Things open source sensing telemetry Ecology QH540-549.5 Evolution QH359-425 |
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 |
Timm A. Wild Martin Wikelski Stephen Tyndel Gustavo Alarcón‐Nieto Barbara C. Klump Lucy M. Aplin Mirko Meboldt Hannah J. Williams |
author_facet |
Timm A. Wild Martin Wikelski Stephen Tyndel Gustavo Alarcón‐Nieto Barbara C. Klump Lucy M. Aplin Mirko Meboldt Hannah J. Williams |
author_sort |
Timm A. Wild |
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 |
2023 |
url |
https://doi.org/10.1111/2041-210X.13798 https://doaj.org/article/3caf1c4ab6354d12b399a6a765f60803 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
Methods in Ecology and Evolution, Vol 14, Iss 1, Pp 87-102 (2023) |
op_relation |
https://doi.org/10.1111/2041-210X.13798 https://doaj.org/toc/2041-210X 2041-210X doi:10.1111/2041-210X.13798 https://doaj.org/article/3caf1c4ab6354d12b399a6a765f60803 |
op_doi |
https://doi.org/10.1111/2041-210X.13798 |
container_title |
Methods in Ecology and Evolution |
container_volume |
14 |
container_issue |
1 |
container_start_page |
87 |
op_container_end_page |
102 |
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1775349851478818816 |