Now 94 visitors
Today:476 Yesterday:656
Total: 140992 85S 19P 0R
2025-08-27, Week 35
TACT Journal Page
Call for Paper
Author Page
Paper Procedure
Paper Submission
Registration
Welcome Message
Statistics
Committee
Paper Archives
Outstanding Papers
Proceedings
Presentation Assistant
Hotel & Travel Info
Photo Gallery
FAQ
Member Login
Scheduler Login
Seminar
Archives Login
Sponsors


















Virual Oral Question and Answer
IEEE/ICACT20250172 Question.2
Questioner: ammarnabil23050@gmail.com    2025-02-17 ¿ÀÀü 10:28:43 		IEEE/ICACT20250172 Answer.2
Answer by Auhor lsqbit@163.com   2025-02-17 ¿ÀÀü 10:28:43
How does your anti-jamming weighted clustering algorithm help reduce the impact of interference between clusters, and what challenges does it address in this process? In the initial cluster formation stage of the proposed ianti-jamming weighted clustering algorithm, unreasonable node clustering may result in suboptimal clustering results and increased interference between clusters. To address this, the K-means++ algorithm is employed for the initial cluster formation. This algorithm considers the distances between nodes when selecting initial cluster centers, ensuring that the centroids are more widely dispersed. As a result, the clusters are more evenly distributed, which helps reduce interference between them.

Select Voice