Energy efficiency in densely distributed wireless sensor network using fuzzy K-mean

Presently, in densely distributed WSNs, the data produced from different sensor nodes are a hot and interesting topic due to the stupendous increase in the field of the communication and information techniques. So the gathering of data has to be done efficiently to reduce energy consumption in densely distributed WSNs. This is an important and difficult task for research in WSN. Therefore, in this paper, the authors present a clustering method for fuzzy networks. And an optimal number of clusters designed to reduce the consumption of energy in WSNs.