Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Comparison of LoRa and NB-IoTin Terms of Power Consumption
KTH, School of Electrical Engineering and Computer Science (EECS).
2020 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The Low-Power Wide Area Network (LPWAN) offers longer transmission rangeand lower energy consumption. There are many LPWA technologies, such asNarrowband Internet of Things (NB-IoT) and Long Range (LoRa). These technologiesare mainly battery-based and the energy consumption is an criticalissue. There are few researches that focus on comparing the power consumptionof LoRa and NB-IoT based on experiment results.The objective of the thesis is to compare the power consumption of LoRa andNB-IoT. In this thesis, we did experiments to measure the power consumptionof LoRa and NB-IoT. We calculated the estimated battery lifetime for differentparameters based on our experiment results. The estimated battery lifetimeshows that LoRa with SF7 has lower power consumption than NB-IoT.

Abstract [sv]

Low-Power Wide Area Network (LPWAN) erbjuder längre transmissionsintervalloch lägre energiförbrukning. Det finns många LPWA-teknologier, till exempelNarrowband Internet of Things (NB-IoT) och Long Range (LoRa). Dennateknik är huvudsakligen batteribaserad och energiförbrukningen är en kritiskfråga. Det finns få undersökningar som fokuserar på att jämföra kraftförbrukningenav LoRa och NB-IoT baserat på experimentresultat.Målet med avhandlingen är att jämföra kraftförbrukningen för LoRa ochNB-IoT. I den här avhandlingen gjorde vi experiment för att mäta strömförbrukningenför LoRa och NB-IoT. Vi beräknade den beräknade batteritiden förolika parametrar baserat på våra experimentresultat. Den uppskattade batteritidenvisar att LoRa med SF7 har lägre energiförbrukning än NB-IoT.

Place, publisher, year, edition, pages
2020. , p. 36
Series
TRITA-EECS-EX ; 2020:17
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-278075OAI: oai:DiVA.org:kth-278075DiVA, id: diva2:1451892
Educational program
Master of Science - Information and Network Engineering
Supervisors
Examiners
Available from: 2020-07-03 Created: 2020-07-03 Last updated: 2022-06-26Bibliographically approved

Open Access in DiVA

fulltext(2503 kB)6036 downloads
File information
File name FULLTEXT01.pdfFile size 2503 kBChecksum SHA-512
e531d0b58100a14d28b8a6beb39f8344db44dde9306433d1e17744ef31328966a07abb33782bd033cc6770091baf35f58034d9ff2206b1057742805792a6f9d9
Type fulltextMimetype application/pdf

By organisation
School of Electrical Engineering and Computer Science (EECS)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 6042 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 716 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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