iBeacon indoor localization using trusted-ranges model

Tuan D Vy and Yoan Shin

International Journal of Distributed Sensor Networks, 2019, vol. 15, issue 1, 1550147718824304

Abstract: In this article, we propose an efficient approach to address mobile indoor localization using received signal strength from iBeacon combined with trusted-ranges model. In order to overcome the inconsistency of radio signal propagation, the trusted-ranges model supplies reliable ranges of received signal strength values from a certain number of nearest neighbor iBeacon nodes by classifying received signal strength values into various levels of range. By observing the signal propagation, the trusted-ranges model is built to provide important information for the training phase. Based on this, a partition scheme is applied to effectively determine the position of mobile devices. The experimental results show fast, robust, and accurate localization performance in the proposed method.

Keywords: Indoor localization; received signal strength; iBeacon; trusted ranges (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:15:y:2019:i:1:p:1550147718824304

DOI: 10.1177/1550147718824304

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