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Title
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Outdoor fingerprinting localization using Sigfox
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Author
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Abstract
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| The Internet of Things (IoT) has caused the modern society to connect everything in our environment to a network. In a myriad of IoT applications, smart devices need to be located. This can easily be done by satellite based receivers. However, there are more energy-efficient localization technologies, especially in Low Power Wide Area Networks (LPWAN). In this research, we discuss the accuracy of an outdoor fingerprinting technique using a large outdoor Sigfox dataset which is openly available. A kNN (k Nearest Neighbors) algorithm is applied to our fingerprinting database. 31 different distance functions and four RSS data representations are evaluated. Our analysis shows that a Sigfox transmitter can be located with a mean estimation error of 340 meters. |
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Language
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English
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Source (journal)
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Indoor Positioning and Indoor Navigation (IPIN), International Conference on
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Source (book)
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2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 24-27 September, 2018, Nantes, France
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Publication
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Piscataway, N.J.
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IEEE
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2018
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ISSN
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2471-917X
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ISBN
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978-1-5386-5635-8
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978-1-5386-5635-8
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DOI
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10.1109/IPIN.2018.8533826
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Volume/pages
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p. 1-6
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ISI
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000495106400081
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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