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dc.contributor.authorVäänänen, Olli
dc.contributor.authorHämäläinen, Timo
dc.date.accessioned2022-06-29T10:11:37Z
dc.date.available2022-06-29T10:11:37Z
dc.date.issued2022
dc.identifier.citationVäänänen, O., & Hämäläinen, T. (2022). Efficiency of temporal sensor data compression methods to reduce LoRa-based sensor node energy consumption. <i>Sensor Review</i>, <i>42</i>(5), 503-516. <a href="https://doi.org/10.1108/sr-10-2021-0360" target="_blank">https://doi.org/10.1108/sr-10-2021-0360</a>
dc.identifier.otherCONVID_147403789
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82093
dc.description.abstractPurpose Minimizing the energy consumption in a wireless sensor node is important for lengthening the lifetime of a battery. Radio transmission is the most energy-consuming task in a wireless sensor node, and by compressing the sensor data in the online mode, it is possible to reduce the number of transmission periods. This study aims to demonstrate that temporal compression methods present an effective method for lengthening the lifetime of a battery-powered wireless sensor node. Design/methodology/approach In this study, the energy consumption of LoRa-based sensor node was evaluated and measured. The experiments were conducted with different LoRaWAN data rate parameters, with and without compression algorithms implemented to compress sensor data in the online mode. The effect of temporal compression algorithms on the overall energy consumption was measured. Findings Energy consumption was measured with different LoRaWAN spreading factors. The LoRaWAN transmission energy consumption significantly depends on the spreading factor used. The other significant factors affecting the LoRa-based sensor node energy consumption are the measurement interval and sleep mode current consumption. The results show that temporal compression algorithms are an effective method for reducing the energy consumption of a LoRa sensor node by reducing the number of LoRa transmission periods. Originality/value This paper presents with a practical case that it is possible to reduce the overall energy consumption of a wireless sensor node by compressing sensor data in online mode with simple temporal compression algorithms.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEmerald
dc.relation.ispartofseriesSensor Review
dc.rightsCC BY 4.0
dc.subject.otherinternet of things
dc.subject.otherenergy efficiency
dc.subject.othercompression
dc.subject.othersensor data
dc.subject.otheredge computing
dc.titleEfficiency of temporal sensor data compression methods to reduce LoRa-based sensor node energy consumption
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202206293693
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTekniikkafi
dc.contributor.oppiaineSecure Communications Engineering and Signal Processingfi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineEngineeringen
dc.contributor.oppiaineSecure Communications Engineering and Signal Processingen
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange503-516
dc.relation.issn0260-2288
dc.relation.numberinseries5
dc.relation.volume42
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 the Authors
dc.rights.accesslevelopenAccessfi
dc.subject.ysoenergiatehokkuus
dc.subject.ysoparistot
dc.subject.ysoalgoritmit
dc.subject.ysoesineiden internet
dc.subject.ysoakut
dc.subject.ysoanturit
dc.subject.ysosähkönkulutus
dc.subject.ysoenergiansäästö
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8328
jyx.subject.urihttp://www.yso.fi/onto/yso/p2307
jyx.subject.urihttp://www.yso.fi/onto/yso/p14524
jyx.subject.urihttp://www.yso.fi/onto/yso/p27206
jyx.subject.urihttp://www.yso.fi/onto/yso/p2306
jyx.subject.urihttp://www.yso.fi/onto/yso/p11460
jyx.subject.urihttp://www.yso.fi/onto/yso/p15953
jyx.subject.urihttp://www.yso.fi/onto/yso/p2386
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1108/sr-10-2021-0360
dc.type.okmA1


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