International Journal of Applied Research
Vol. 3, Issue 12, Part G (2017)
Energy efficient cluster formation in wireless sensor networks
Kanika, Ankur Mittal and Paru Raj
Energy is saved through load distribution. Instead of all nodes sending data to the base station, some representative nodes, called cluster heads, collect data from members and send aggregated data to the base station. There are many such approaches in the literature, all differ in the method and frequency of cluster head selection. This dissertation proposes a new method of cluster head selection.
The nodes of the network are categorized as interior and exterior nodes based on the density of other nodes in the surrounding. The ratio of interior type of neighbors to exterior type of neighbors of a node is used to decide the level of a node. This level in combination with distance of a node from the base station is used to decide whether it will act as a cluster head or not. As the energy of nodes depletes, some neighbors may die thus changing the level of the node. At this point, new cluster heads are selected. Due to this the energy of network is consumed in a balanced manner.
Simulation experiments are designed to compare the proposed method with other popular clustering algorithms. Overall impression of results is that the proposed method gives a longer network life due to properly distributed energy consumption throughout the network.
How to cite this article:
Kanika, Ankur Mittal and Paru Raj. Energy efficient cluster formation in wireless sensor networks. International Journal of Applied Research. 2017; 3(12): 443-447.