Abstract

The clustering approach is an essential technique that is utilized in wireless sensor networks in order to improve energy efficiency. A collection of nodes come together to create the cluster and the members of the cluster send the data that they have detected to the cluster head. On the other side the cluster head is responsible for aggregating the data and sending it to the base station. As a result the amount of data traffic that occurs between individual nodes and the base station is reduced which in turn prolongs the life of the network. A new energy conservation strategy for heterogeneous wireless sensor networks is presented in this study. The method is based on a clustering algorithm. Within the algorithm there are three distinct forms of heterogeneity: normal advanced and super nodes each of which has a unique energy level. Different numbers of the aforementioned three groups of nodes were used in the experiments that were carried out. The results of the experiments make it ab