Routing Protocol LEACH-K Using K-Means Algorithm in Wireless Sensor Network

Abstract

Nowadays, the tendency in WSN research is the use of machine learning to improve efficiency in energy conservation. The purpose of the research is to reduce energy consumption to boosts network lifetime. To minimize nodes energy consumption, researchers have taken interest in the use of K-Means especially in large scale networks for applications where the controlled area extensive. This research did not pay much attention to the impact of K-Means on network performance and quality of service metrics such as throughput, Energy, latency, etc. In our case, we applied K-Means algorithm on LEACH routing protocol before CH election in order to minimize energy consumption. In the present work we applied K-Means before the selection of CH and study the impacts of K-Means on the several the quality of service criteria. Hence the use of K-Means before the election of CH, which divides the network into K cluster where all the nodes of each cluster are very close to the centroid location, which makes nodes closer to the CH. Therefore, our work has reduced energy consumption and latency time, increase network stability time, network life time and throughput.