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A measurement study of predicting throughput from LQI and RSSI
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2012 (English)Report (Other academic)
Abstract [en]

Wireless sensor networks (WSN) commonly use ZigBee tocommunicate, especially when low power consumption is demanded. Zig-Bee may however provide unpredictable throughput although transmis-sion distances are short. This is especially evident in difficult environ-ments with complicated reflections and various materials through whichradio signals need to pass through. Distributed scheduling based on cog-nitive networking principles may improve both network predictabilityand overall throughput. This paper presents measurements of key pa-rameters for such cognitive scheduling, and discusses their potential forpredicting suitable per-node transmission rates. Results include variabil-ity of throughput, RSSI and LQI observed for different transmission pow-ers, transmission ranges, and number of transmitting nodes.

Place, publisher, year, edition, pages
2012. , p. 12
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-23509Local ID: 73f58f0c-1610-4b68-a093-7763dea80c56OAI: oai:DiVA.org:ltu-23509DiVA: diva2:996558
Projects
CASTT - Centre for Automotive Systems Technologies and Testing
Note
Godkänd; 2012; 20130929 (krzwol)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-01-10Bibliographically approved

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CiteExportLink to record
Permanent link

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