Introduce methods for 3D clustering for wireless sensor networks

Today, the wireless sensor networks are popular therefore they have high features such as small tools, High computational ability and usability in all environments. But restriction power is weakness that clustering is trying to improve it. Clusters sometimes form geometric shapes are considered, that more is at two-dimensional space. In this paper, three-dimensional geometric forms has been used for places where the need to review different environments with different surface. Finally, with the introduction of a mathematical model for clustering introduced, we calculate the network life time according to the number of sensors used.