Artificial Intelligence and Robotics by Huimin Lu & Xing Xu

Author:Huimin Lu & Xing Xu
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

Test time of WKNN positioning algorithm unit: milliseconds (ms)

Test time of improved algorithm unit: milliseconds (ms)

20 sets of test data for the total time

400

340

Average single positioning time

20

17

Analysis of test results: The total test time of the traditional WKNN is 400 ms, and the positioning time of the average single point is 20 ms. The improved algorithm reduces the amount of data in the total database due to the selection of AP. In the latter part of the algorithm, the clustering is also added, which makes the matching speed obviously and the performance of the system is optimized. Finally, the total test time is reduced by 60 ms and the average positioning time for a single point is reduced by 3 ms.

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