Outdoor Fingerprinting Localization Using Sigfox
- 1 September 2018
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Abstract
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.Keywords
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