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).

AlgorithmN = 30N = 60N = 90N = 120N = 150N = 180

Proposed algorithm297.476350.721398.991451.081502.766552.004
Literature [13]301.350357.109408.329459.231513.221565.171
Literature [14]302.701353.281405.421458.341508.217557.124
Literature [10]6.213102.334166.210217.662275.329327.371
Literature [12]60.001101.219159.296241.002266.737319.534