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Poster: A fair adaptive data rate algorithm for lorawan

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

LoRaWAN exhibits several characteristics that can lead to an unfair distribution of the Data Extracted Rate (DER) among nodes. Firstly, the capture effect leads to a strong signal suppressing a weaker signal at the gateway and secondly, the spreading codes used are not perfectly orthogonal, causing packet loss if an interfering signal is strong enough. In these conditions, nodes experiencing higher attenuation are less likely to see their packets received correctly. We develop FADR, a Fair Adaptive Data Rate algorithm for LoRaWAN that exploits the different Spreading Factors (SFs) and Transmission Powers (TPs) settings available in LoRa to achieve a fair Data Extraction Rate among all nodes while at the same time avoiding excessively high TPs. Simulations show that FADR, in highly congested cells, achieves 300% higher fairness than the minimum airtime allocation approach and 22% higher fairness than the state-of-art, while consuming almost 22% lower energy.

Original languageEnglish
Title of host publicationInternational Conference on Embedded Wireless Systems and Networks, EWSN 2018
EditorsDomenico Giustiniano, Dimitrios Koutsonikolas
PublisherJunction Publishing
Pages169-170
Number of pages2
ISBN (Print)9780994988621
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference on Embedded Wireless Systems and Networks, EWSN 2018 - Madrid, Spain
Duration: 14 Feb 201816 Feb 2018

Publication series

NameInternational Conference on Embedded Wireless Systems and Networks
ISSN (Electronic)2562-2331

Conference

ConferenceInternational Conference on Embedded Wireless Systems and Networks, EWSN 2018
Country/TerritorySpain
CityMadrid
Period14/02/1816/02/18

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