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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

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CiteExportLink to record
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Citation style
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  • Other locale
More languages
Output format
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