A Lecturer from the Department of Mathematics Publishes a Global Research Paper.
Asst. Lect. Ali Muhammad Hussein from the Department of Mathematics published a scientific paper titled: Clustering approach in wireless sensor networks based on K-means: Limitations and recommendations Clustering approach in wireless sensor networks based on K-means
in the International Journal of Recent Technology and Engineering (IJRTE)
The research aimed to demonstrate that the clustering method in wireless sensor networks is of paramount importance, and that the clustering structure and how to optimize it are the primary challenges facing developers, as it forms the basis for designing a clustering-based routing protocol.
The research included the K-means algorithm, one of the most popular clustering algorithms used to organize sensor nodes. This algorithm has contributed to the construction of clusters for various practical applications in wireless sensor networks. However, it suffers from several shortcomings that have hindered its operation.
The study proposes solutions that address some of the suggestions. These suggestions can improve the performance of K-means, which will positively impact energy savings for sensor nodes and, consequently, extend the lifetime of wireless sensor networks.
