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Integrating Constraint-based Planning with LwM2M for IoT Network Scheduling
Örebro University, School of Science and Technology. (AASS)
RISE - Research Institutes of Sweden, ICT, SICS. (Networked Embedded Systems), Sweden. (RISE - Research Institutes of Sweden, ICT, SICS. (Networked Embedded Systems))ORCID iD: 0000-0003-3139-2564
Örebro University, School of Science and Technology. (Örebro University, Sweden)ORCID iD: 0000-0002-3122-693X
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the design and implementationof a network scheduler prototype for IoT networks within the e-healthcare domain. The network scheduler combines a constraint-based task planner with the Lightweight Machine-to-Machine (LwM2M) protocol to be able to reconfigure IoT networks at run-time based on recognized activities and changes in the environment. To support such network scheduling, we implement a LwM2M application layer for the IoT devices that provides sensor data, network stack information, and a set of controllable parameters that affect the communication performance and the energy consumption.

Place, publisher, year, edition, pages
2018.
Keywords [en]
LwM2M, Internet of Things, network scheduling, e-healthcare
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-71977OAI: oai:DiVA.org:oru-71977DiVA, id: diva2:1284165
Conference
Workshop on AI for Internet of Things (AI4IoT), Stockholm, July 15, 2018
Projects
E-care@home
Funder
Knowledge FoundationAvailable from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-02-04Bibliographically approved

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Webb-sida för Workshop

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Köckemann, UweLoutfi, Amy

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf