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- W2910404333 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." @default.
- W2910404333 created "2019-01-25" @default.
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- W2910404333 date "2019-01-01" @default.
- W2910404333 modified "2023-10-18" @default.
- W2910404333 title "iBeacon indoor localization using trusted-ranges model" @default.
- W2910404333 cites W2735633969 @default.
- W2910404333 doi "https://doi.org/10.1177/1550147718824304" @default.
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