Research Article
An Indoor Positioning Algorithm for Wearable Device Using Deep Learning Regression Prediction Model in IoT Applications
Table 4
Time consumption of several positioning algorithms (ms).
| Algorithm | N = 30 | N = 60 | N = 90 | N = 120 | N = 150 | N = 180 |
| Proposed algorithm | 297.476 | 350.721 | 398.991 | 451.081 | 502.766 | 552.004 | Literature [13] | 301.350 | 357.109 | 408.329 | 459.231 | 513.221 | 565.171 | Literature [14] | 302.701 | 353.281 | 405.421 | 458.341 | 508.217 | 557.124 | Literature [10] | 6.213 | 102.334 | 166.210 | 217.662 | 275.329 | 327.371 | Literature [12] | 60.001 | 101.219 | 159.296 | 241.002 | 266.737 | 319.534 |
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