Energy Management can be improved by proficient clustering algorithms in heterogeneous wireless sensor networks. Coordination through cluster head selection provides efficient data aggregation that reduces communication overhead in the network. In this paper, we propose a fuzzy logic approach based DDEEC clustering algorithm which aims to prolong the lifetime of nodes in heterogeneous WSNs. We compare this algorithm with the PSO based DDEEC algorithm and original DDEEC algorithm according to the parameters of the first node dies at different rounds and energy-efficiency metrics. The efficiency of the proposed optimized fuzzy algorithm is proved by the Matlab experimental results. Simulation results exhibit that the proposed algorithm has higher energy efficiency and can improve the lifespan of a node and data delivery at the base station over its comparatives.