Cluster Size Optimization in Gaussian Distributed Wireless Sensor Networks
To deal with sensor network limitations such as limited energy and short range communication, sensor nodes are grouped into mostly non overlapping subsets called clusters. Choosing optimal number of clusters provides benefits such that limited resources can be utilized more efficiently and network lifetime is improved. Many of the existing researches provided the cluster size optimization in Wireless Sensor Networks (WSNs), in which nodes are uniformly and randomly placed in the sensing field (e.g. controllable WSN). Deployment of sensor nodes affects the energy consumption of WSNs along with individual nodes because the distance between nodes and Base Station (BS) is different due to different node position; consequently nodes have different energy loss.