Optimizing Number of Clusters for Energy Saving Purpose in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have a lot of efficient applications in many areas. While WSNs are quite stable, they still get obstructed with energy consumption because sensors often locate in unattended and inhospitable areas such as forest or radioactive field where human could not reach. With all energy pre-charged batteries, sensors have to keep working until running out of energy. The main goal of this paper is to find ways to improve WSNs and to make their lives longer. In this paper, we propose an energy efficient clustering algorithm that applies Compressive Sensing significantly saving energy for WSNs based on some clustering algorithms. In addition, we show the optimal number of clusters in various sensing conditions and optimize energy consumption for WSNs.