2019 19th International Symposium on Communications and Information Technologies (ISCIT) 2019
DOI: 10.1109/iscit.2019.8905160
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Indoor Localization with lightweight RSS Fingerprint using BLE iBeacon on iOS platform

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Cited by 9 publications
(7 citation statements)
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“…A study has been carried out [ 46 ] to propose a system for indoor localization based on BLE iBeacon by utilizing the fingerprint technique. They applied the k-nearest neighbors (KNN) algorithm to predict user location.…”
Section: Related Workmentioning
confidence: 99%
“…A study has been carried out [ 46 ] to propose a system for indoor localization based on BLE iBeacon by utilizing the fingerprint technique. They applied the k-nearest neighbors (KNN) algorithm to predict user location.…”
Section: Related Workmentioning
confidence: 99%
“…The ML algorithms have been employed in several studies with the aim to improve the performance of localization techniques [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. In the following text, we will make an overview of the state of the art to summarize the most popular techniques and their expected performance.…”
Section: Related Workmentioning
confidence: 99%
“…Although the authors present the result in average error distance, since they pose a classification problem, it is more important to state that 60% of the locations were assigned to correct points with the neighboring points being selected for misclassified locations. In a follow up work [ 22 ], the team has replaced the Kalman filter with near beacon selection to drop distant beacon signals as being prone to interference. Furthermore, a new feature, the device azimuth, is introduced as a result of magnetometer measurement.…”
Section: Related Workmentioning
confidence: 99%
“…The system proposed by [11] placed 15 BLE beacons distributed randomly on different types of objects such as a table, TV remote control and trash baskets. In the system done by [12], the authors detected the indoor location by placing five BLE beacon in the indoor location, and smartphone as BLE scanner carried by the subject and divided the home environment as five separate sections. The authors in [13] implemented the indoor location system by placing fixed BLE scanners in the building and BLE beacon carried by the subject, the distance estimation done by using statistical equation between the BLE scanners and BLE beacon.…”
Section: Literature Reviewmentioning
confidence: 99%