A Lecturer from the Department of Mathematics Publishes a Global Research paper.
Assistant lecturer Ali Muhammad Hussein from the Department of Mathematics published a scientific paper titled: An Improved LEACH Algorithm Based on Fuzzy C-means Algorithm and Distributed Cluster Head Selection Mechanism
In the journal: International Journal of Advanced Science and Technology
The research aimed to attract significant attention in many circles for the useful ability of wireless sensor networks (WSNs) to investigate various types of environmental settings through the mechanisms of detecting the physical state of materials discovered through research.
The research addressed the important requirements of most sensor network applications: the longevity of the network. To achieve these requirements, clustering sensor nodes is an effective method for achieving these goals. The primary goal of a wireless sensor network routing protocol is to maintain a balanced network energy usage and extend its overall lifetime. The Low Energy Adaptive Clustering (LEACH) sequence is the most well-known protocol that uses clustering.
The study solved the LEACH problem using the Fuzzy C-means (FCM) algorithm to form balanced clusters, followed by selecting the cluster head in each cluster based on the node energy and distance to the cluster center of gravity. The recommended algorithm was compared with the LEACH algorithm in terms of energy consumption and network lifetime. The results showed that our proposed algorithm has an additional advantage over LEACH.
