@inproceedings{ca032080038e48d284a17dd0369c01cb,
title = "Location estimation technique in bluetooth beacon based indoor positioning systems",
abstract = "Recently low power based Bluetooth beacons have been developed, and the received signal strength indication (RSSI) based distance measurement technique of beacon signal has been actively studied. In order to calculate the accurate position information, reliability of the received RSSI value and an efficient calculation method are needed. However, it is considered that the calculation method of the conventional triangular algorithm which is currently popular is difficult to recognize the accurate position information due to the accuracy limitation. Therefore, in this paper, we propose a novel weighting algorithm that compensates the limits of the triangulation algorithm. When we compare the accuracy with the actual measured data, we can confirm that the error rate of the location information obtained using the proposed weighting algorithm method is lower than that of the conventional triangulation algorithm.",
keywords = "Bluetooth beacon, Indoor positioning, RSSI",
author = "Yoon, \{Jeong Hyun\} and Inah Chung and Lee, \{Ye Hoon\}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Green and Human Information Technology, ICGHIT 2018 ; Conference date: 31-01-2018 Through 02-02-2018",
year = "2019",
doi = "10.1007/978-981-13-0311-1\_8",
language = "English",
isbn = "9789811303104",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "41--44",
editor = "Franklin Bien and Tan, \{Syh Yuan\} and Hwang, \{Seong Oun\}",
booktitle = "Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018",
}