Difference between revisions of "Evaluating the Implications of Varying Bluetooth Low Energy (BLE) Transmission Power Levels on Wireless Indoor Localization Accuracy and Precision (Q4658)"
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(Created claim: concerns (P110): Bluetooth Low Energy (Q4406)) |
(Created claim: date (P100): 2019) |
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| + | In this paper, we investigated the effect of BLE signal variations on indoor localization caused by the change in BLE transmission power levels. | ||||||||||||||
| Property / quote: In this paper, we investigated the effect of BLE signal variations on indoor localization caused by the change in BLE transmission power levels. / rank | |||||||||||||||
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| + | To analyze the impact, we used the established trilateration based localization model with two methods i.e., Centroid Approximation (CA) and Minimum Mean Square Error (MMSE). We observed that trilateration based localization with MMSE method outperforms the CA method. | ||||||||||||||
| Property / quote: To analyze the impact, we used the established trilateration based localization model with two methods i.e., Centroid Approximation (CA) and Minimum Mean Square Error (MMSE). We observed that trilateration based localization with MMSE method outperforms the CA method. / rank | |||||||||||||||
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| Property / DOI: 10.3390/s19153282 / rank | |||||||||||||||
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| + | 2019
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Latest revision as of 19:19, 20 May 2020
Statements
In this paper, we investigated the effect of BLE signal variations on indoor localization caused by the change in BLE transmission power levels.
0 references
To analyze the impact, we used the established trilateration based localization model with two methods i.e., Centroid Approximation (CA) and Minimum Mean Square Error (MMSE). We observed that trilateration based localization with MMSE method outperforms the CA method.
0 references
2019
0 references