AP Layout Optimization Design of Wireless Network in Clean Workshop Based on K-means Clustering Algorithm
To optimize the layout of the wireless access point to achieve better wireless network coverage in clean workshops.Based on the K-means clustering algorithm,the wireless network usage points are used as clustering objects for clustering calculation,and the AP layout points under different clustering clusters are output.The optimization effect is evaluated by detecting the wireless network signal intensity of the same usage points before and after optimization.In the case of using the same number of AP,compared with the traditional layout scheme,the average signal intensity of the use points of the optimized layout scheme can be significantly improved.At the same time,if you want to increase the number of AP to improve the signal intensity of all use points,the algorithm also gives a better guidance scheme.The algorithm can give an AP layout optimization design scheme to improve the signal intensity of wireless network use points in clean workshops.
万方数据
维普
