An Efficient K-means Clustering approach in Wireless Network for data sharing

In a wireless network the data is to be transmitted through network to the base station. The data clustering can be applied for the data transmission for achieving better efficiency, network lifetime and stability. We can improve the data selection mechanism by efficient use of clustering techniques. So in this paper we have applied K-means Clustering approach in Wireless Network for data sharing. In this approach we have used distributed as well as centralized scheme. In one nature the data is in the control of one station which is used to control the data, nodes and key. The distributed environment is used for cluster data sharing which help is improving the performance in terms of time and efficiency.