Main Article Content
Wireless Sensor Networks (WSNs) are designed to careaccessible real-time monitoring of the environment, which depends on the region involved. The main experiments in WSN include energy optimization, routing, identification of obstacles, security, etc. Energy efficiency is theimportant issue for all types of WSNs. The sensor systems are focused by a battery and therefore turn out to be gone after a specific interval. Improving data indulgence in an energy-efficient way is more important to upgrade the lifetime of maximum sensor devices in the overall network. The clustering technique has already been shown to improve or enhance the life span of WSNs. In the existing clustering model, the Cluster Head (CH) collection in each one is considered to be a skilled method for energy-efficient method of routing, which minimises the broadcast delay in the network. The Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is analysed in this paper to minimise energy consumption. An analytical method for evaluating energy consumption built on a graph is presented. Analysis and simulation results indicate that the k-Means algorithm which can save an enormous amount of energy compared to the LEACH protocol with the similar amount of data rate, bit error rate, and other parameters for a specific area of network. It is related with the k-Means algorithm to obtain the performance of different datasets in healthcare applications.