Page 153 - Kỷ yếu hội thảo quốc tế: Ứng dụng công nghệ mới trong công trình xanh - lần thứ 9 (ATiGB 2024)

144 TRƯỜNG ĐẠI HỌC SƯ PHẠM KỸ THUẬT - ĐẠI HỌC ĐÀ NẴNG

Fig. 6. The GUI interface of the proposed
Python program for clustering TWAMP's
performance data of BSs.
On the graph in Fig. 7, each centroid of each
Fig. 4. A segment of data employed cluster is visualized by the red dot.
for feeding into the algorithm.
4.2. Result analysis
In this section, the results of experiments are
shown. Firstly, the optimal cluster number is
determined by k-means clustering and the Elbow
method as a plot in Fig. 5. Then, invisible
performance patterns of MBH are exposed through k-
means clustering algorithm with the optimal k .

Fig. 7. Visualization of clustering
MBH dataset into six groups.
The corresponding pair of values for each centroid
is calculated and summarized in Table 1.
Table 1. Centroid values of each cluster.
Order of centroids TWAMP SR(%) Packet Loss (#)
The 1st cluster’s centroid 100 41.66
The 2nd cluster’s centroid 0.0 863988.0
The 3rd cluster’s centroid 0.0 683069.0
Fig. 5. Elbow method applied into
MBH performance dataset. The 4th cluster’s centroid 85.67 82423.0
The 5th cluster’s centroid 98.03 16729.42
In the plot above, we can visually perceive that the
“Elbow” is the number 6 which is the optimum value The 6th cluster’s centroid 99.61 3426.71
of k for the MBH dataset. In case of k>6, the value of Based on the clustering results of the proposed
SSE does not change significantly. Therefore, a k- optimal k-means model, base stations' backhauls in
means algorithm using as k=6 will be executed in the the 2nd and 3rd clusters will be prioritized for
final stage. As shown in Fig. 6, the GUI interface of processing and restoring the backhaul transmission
the Python program implementing the proposed quality to improve overall availability of mobile
algorithm flow chart depicted in Fig. 3 with the communication services delivered to subscribers.
support of the Tkinter library is displayed. MNOs always keep their backhaul network stable to
support these complex heterogeneous networks with

ISBN: 978-604-80-9779-0