Cristin-resultat-ID: 1929199
Sist endret: 27. august 2021, 10:24
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021

Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra

Bidragsytere:
  • Michael J. Murphy
  • Øystein Tveito
  • Eivind Flittie Kleiven
  • Issam Rais
  • Eeva M Soininen
  • John Markus Bjørndalen
  • mfl.

Bok

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021)
ISBN:
  • 978-1-7281-9586-5

Utgiver

IEEE (Institute of Electrical and Electronics Engineers)
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2021
Sider: 376 - 385
ISBN:
  • 978-1-7281-9586-5
Open Access

Klassifisering

Fagfelt (NPI)

Fagfelt: IKT
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra

Sammendrag

The arctic tundra is most sensitive to climate change. The change can be quantified from observations of the fauna, flora and weather conditions. To do observations at sufficient spatial and temporal resolution, ground-based observation nodes with sensors are needed.However, the arctic tundra is resource-limited with regards to energy, data networks, and humans. There are also regulatory and practical obstacles. Consequently, observation nodes must be small and unobtrusive, have a year or longer operational lifetime from small batteries, and be able to report results and receive software updates over scarce back-haul networks.We describe the architecture, design, and implementation of prototype observation nodes deployed to the arctic tundra for the periods August 2019 to July 2020 and August 2020 to July 2021.For the 2019 deployment, ten nodes were each placed inside ten existing camera traps. A camera trap is a box with a wildlife camera taking pictures of rodents when they enter the box from tunnels under snow and ice. For the 2020 deployment, eight nodes were located pairwise inside four camera traps.Each node measures carbon dioxide level and temperature inside the camera trap during the winter season. A node reports its state and observational data each night over a commercial low power IoT telecom back-haul network, if available.We report on the issues encountered doing actual deployments of the prototype nodes. For each issue, we describe the reason for why it happened, relate it to the architecture, design and implementation, and explain what we did about it.

Bidragsytere

Michael John Murphy

Bidragsyterens navn vises på dette resultatet som Michael J. Murphy
  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet

Øystein Tveito

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet

Eivind Flittie Kleiven

  • Tilknyttet:
    Forfatter
    ved Institutt for arktisk og marin biologi ved UiT Norges arktiske universitet

Issam Rais

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet

Eeva Marjatta Soininen

Bidragsyterens navn vises på dette resultatet som Eeva M Soininen
  • Tilknyttet:
    Forfatter
    ved Institutt for arktisk og marin biologi ved UiT Norges arktiske universitet
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Proceedings of the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021).

Lefèvre, Laurent; Patterson, Stacy; Lee, Young Choon; Shen, Haiying; Ilager, Shashikant; Goudarzi, Mohammad; Toosi, Adel N.; Buyya, Rajkumar. 2021, IEEE (Institute of Electrical and Electronics Engineers). Vitenskapelig antologi/Konferanseserie
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