Energy efficient density-based clustering technique for wireless sensor network

Abstract

Sensor nodes are characterized with limited resources of processing, memory, and battery. These features motivate the researchers to propose power-aware communication protocols. Clustering is used to help for this purpose. It is used to organize the massive number of deployed sensors in the network to minimize energy consumption. Different categories of clustering techniques were proposed. One of these categories is density-based clustering which mainly depends on measuring the density around nodes before grouping them into clusters. This paper proposes an Energy-Efficient Density-based clustering technique which aims to balance the energy consumption among all clusters. This is done by the adaptation of the transmission range of cluster heads to use a suitable value according to the density around it. Simulation results for the proposed technique shows its effectiveness as it achieves less power consumption and more network lifetime when compared with other density-based clustering techniques.