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Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames

 
dc.contributor.authorYazdani, Niloofar
dc.contributor.authorKouvelas, Nikos
dc.contributor.authorLucani, Daniel E.
dc.contributor.authorPrasad, R. Venkatesha
dc.contributor.imecauthorKouvelas, Nikos
dc.date.accessioned2023-02-20T14:51:00Z
dc.date.available2022-12-09T03:10:32Z
dc.date.available2023-02-20T14:51:00Z
dc.date.issued2022
dc.description.wosFundingTextThis research was funded by InSecTT (www.insectt.eu) project that has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876038. The JU receives support from the European Union's Horizon 2020 research and innovation program and Austria, Sweden, Spain, Italy, France, Portugal, Ireland, Finland, Slovenia, Poland, Netherlands, and Turkey. The document reflects only the author's view and the European Commission is not responsible for any use that may be made of the information it contains.
dc.identifier.doi10.1109/SECON55815.2022.9918571
dc.identifier.eisbn978-1-6654-8643-9
dc.identifier.issn2473-0440
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40851
dc.publisherIEEE
dc.source.beginpage235
dc.source.conference19th Annual IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON)
dc.source.conferencedateSEP 20-23, 2022
dc.source.conferencelocationStockholm
dc.source.endpage243
dc.source.journalna
dc.source.numberofpages9
dc.title

Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames

dc.typeProceedings paper
dspace.entity.typePublication
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