Due to non uniform distribution of nodes, there is an imbalance of energy consumption among the nodes in cluster-based wireless sensor networks. Based on this problem, we propose an efficient data aggregation tree for communication and routing based on the previous clustering architecture. Here based on the parameters such as Residual Energy, Node Density and Load cluster heads are elected using fuzzy logic technique. The inter-cluster routing algorithm balances the energy consumption among cluster heads by adjusting inter-cluster energy consumption. Then data compression is applied for reducing the energy consumption using data correlation model.