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篇名 |
Novel Dynamic KNN with Adaptive Weighting Mechanism for Beacon-based Indoor Positioning System
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並列篇名 | Novel Dynamic KNN with Adaptive Weighting Mechanism for Beacon-based Indoor Positioning System |
作者 | Chong-Yi Yang、Yi-Wei Ma、Jiann-Liang Chen、Chia-Ju Lin、Wei-Lun Lee |
英文摘要 | This work proposes a novel dynamic K Nearest Neighbor (KNN) with an adaptive weighting (DKNNAW) mechanism that performs beacon-based indoor positioning. Four cases are used to prove that DKNNAW (Dynamic KNN algorithm with Adaptive Weight algorithm) is better than KNN (k-Nearest Neighbors algorithm), KNN-W (KNN with Weight algorithm), DKNN (Dynamic KNN algorithm) and DKNN-W (Dynamic KNN with Weight algorithm). The experimental results demonstrate that, in terms of approximate positioning accuracy, the proposed mechanism outperforms exiting mechanism such as KNN, DKNN, KNN-W and DKNN-W. |
起訖頁 | 1601-1610 |
關鍵詞 | Indoor positioning、Bluetooth Low Energy (BLE)、Fingerprinting |
刊名 | 網際網路技術學刊 |
期數 | 201909 (20:5期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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