The objective of this project is to conserve the energy in wireless sensor network by using the data compression method. Already some of the projects are undertaken to reduce the energy conservation using the Fuzzy transformation to compress the data without the loss in data. The compression of the data gives the better result in the energy conservation process. In order to support data aggregation through well-organized network group, nodes can be divided into a number of small groups called cluster. Due to dividing a single node into the no. of several nodes, the compression of data is versatile for all the packages. LEACH (Low Energy Adaptive Clustering Hierarchy) algorithm is used to make the sensor network more efficient and then it extending the life time. In general, one of the clusters contains more number of clusters; hence by reducing the clustering the probability of reducing the nodes will be increased. By using LEACH method, the number of nodes is reduced to gain the better reduction in energy level. Due to separating the node cluster, the availability of compression is extended, so the data is easy to compress. The rate of compression is high because of dividing the one of the large package node into several small nodes. As per the quality based LEACH method, the efficiency increase, less delay and precision also increased due to less delay.