Flexible Devices for Arctic Ecosystems Observations
Source at http://ojs.bibsys.no/index.php/NIK/article/view/435 . Devices for observing the environment range from basic sensor systems, like step-counters, through wild-life cameras, with limited processing capabilities, to more capable devices with significant processing, memory and storage resource...
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ftunivtroemsoe:oai:munin.uit.no:10037/13945 2023-05-15T14:21:39+02:00 Flexible Devices for Arctic Ecosystems Observations Michalik, Lukasz Sergiusz Anshus, Otto Bjørndalen, John Markus 2017-11-26 https://hdl.handle.net/10037/13945 http://ojs.bibsys.no/index.php/NIK/article/view/435 eng eng Norsk Informatikkonferanse NIK: Norsk Informatikkonferanse info:eu-repo/grantAgreement/RCN/IKTPLUSS/270672/Norway/Distributed Arctic Observatory: A Cyber-Physical System for Ubiquitous Data and Services Covering the Arctic Tundra/DAO/ Michalik, L.S., Anshus, O.J. & Bjørndalen, J.M. (2017). Flexible Devices for Arctic Ecosystems Observations. NIK: Norsk Informatikkonferanse. FRIDAID 1522945 1892-0713 1892-0721 http://ojs.bibsys.no/index.php/NIK/article/view/435 https://hdl.handle.net/10037/13945 openAccess VDP::Mathematics and natural science: 400::Information and communication science: 420 VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420 Journal article Tidsskriftartikkel Peer reviewed 2017 ftunivtroemsoe 2021-06-25T17:55:44Z Source at http://ojs.bibsys.no/index.php/NIK/article/view/435 . Devices for observing the environment range from basic sensor systems, like step-counters, through wild-life cameras, with limited processing capabilities, to more capable devices with significant processing, memory and storage resources. Individual usage domains can benefit from a range of functionalities in these devices including flexibility in prototyping, on- device analytics, network roaming, reporting of data, and keeping the devices and services available in spite of failures and disconnections. The problem is that either the devices are too resource limited to support the range of functionalities, or they use too much energy. An important usage domain is COAT – Climate-Ecological Obser- vatory for Arctic Tundra. Presently, best practice includes deploying wild-life cameras in the Arctic Tundra, and visiting them to manually collect the recorded observations. This is a problem because such devices can only be rarely visited, and manual approaches to fetching data and storing it do not scale with regards to number of cameras, handling of human mistakes, and with freshness of observations. We present a prototype for observing the environment composed of a general purpose computer, a Raspberry PI, in combination with an ARM-based microcontroller. The combination enables us to create a more energy efficient prototype while supporting the needed functionality. The prototype improves on currently applied methods of observing the Arctic tundra. The prototype automatically observes the arctic tundra through camera, humidity and temperature sensors. It monitors itself for failures. The data is stored locally on the prototype until it can be automatically reports to a backend service over a wireless network. We have conducted experiments that show that task scheduling can reduce power consumption, and we identify some additional points that need to be addressed before we can run the device for long periods on battery power. Article in Journal/Newspaper Arctic Arctic Tundra University of Tromsø: Munin Open Research Archive Arctic |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Mathematics and natural science: 400::Information and communication science: 420 VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420 |
spellingShingle |
VDP::Mathematics and natural science: 400::Information and communication science: 420 VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420 Michalik, Lukasz Sergiusz Anshus, Otto Bjørndalen, John Markus Flexible Devices for Arctic Ecosystems Observations |
topic_facet |
VDP::Mathematics and natural science: 400::Information and communication science: 420 VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420 |
description |
Source at http://ojs.bibsys.no/index.php/NIK/article/view/435 . Devices for observing the environment range from basic sensor systems, like step-counters, through wild-life cameras, with limited processing capabilities, to more capable devices with significant processing, memory and storage resources. Individual usage domains can benefit from a range of functionalities in these devices including flexibility in prototyping, on- device analytics, network roaming, reporting of data, and keeping the devices and services available in spite of failures and disconnections. The problem is that either the devices are too resource limited to support the range of functionalities, or they use too much energy. An important usage domain is COAT – Climate-Ecological Obser- vatory for Arctic Tundra. Presently, best practice includes deploying wild-life cameras in the Arctic Tundra, and visiting them to manually collect the recorded observations. This is a problem because such devices can only be rarely visited, and manual approaches to fetching data and storing it do not scale with regards to number of cameras, handling of human mistakes, and with freshness of observations. We present a prototype for observing the environment composed of a general purpose computer, a Raspberry PI, in combination with an ARM-based microcontroller. The combination enables us to create a more energy efficient prototype while supporting the needed functionality. The prototype improves on currently applied methods of observing the Arctic tundra. The prototype automatically observes the arctic tundra through camera, humidity and temperature sensors. It monitors itself for failures. The data is stored locally on the prototype until it can be automatically reports to a backend service over a wireless network. We have conducted experiments that show that task scheduling can reduce power consumption, and we identify some additional points that need to be addressed before we can run the device for long periods on battery power. |
format |
Article in Journal/Newspaper |
author |
Michalik, Lukasz Sergiusz Anshus, Otto Bjørndalen, John Markus |
author_facet |
Michalik, Lukasz Sergiusz Anshus, Otto Bjørndalen, John Markus |
author_sort |
Michalik, Lukasz Sergiusz |
title |
Flexible Devices for Arctic Ecosystems Observations |
title_short |
Flexible Devices for Arctic Ecosystems Observations |
title_full |
Flexible Devices for Arctic Ecosystems Observations |
title_fullStr |
Flexible Devices for Arctic Ecosystems Observations |
title_full_unstemmed |
Flexible Devices for Arctic Ecosystems Observations |
title_sort |
flexible devices for arctic ecosystems observations |
publisher |
Norsk Informatikkonferanse |
publishDate |
2017 |
url |
https://hdl.handle.net/10037/13945 http://ojs.bibsys.no/index.php/NIK/article/view/435 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Tundra |
genre_facet |
Arctic Arctic Tundra |
op_relation |
NIK: Norsk Informatikkonferanse info:eu-repo/grantAgreement/RCN/IKTPLUSS/270672/Norway/Distributed Arctic Observatory: A Cyber-Physical System for Ubiquitous Data and Services Covering the Arctic Tundra/DAO/ Michalik, L.S., Anshus, O.J. & Bjørndalen, J.M. (2017). Flexible Devices for Arctic Ecosystems Observations. NIK: Norsk Informatikkonferanse. FRIDAID 1522945 1892-0713 1892-0721 http://ojs.bibsys.no/index.php/NIK/article/view/435 https://hdl.handle.net/10037/13945 |
op_rights |
openAccess |
_version_ |
1766294375830126592 |