A data fusion using un-even clustering for WSN

Data is fused by retransmission node. So combining routing protocol with data fusion at the network layer is one of the important techniques in WSN. The present data fusion protocols usually compress packets without considering the actual integration capabilities. Considering the distribution, the number and the reselecting mode of cluster heads and the integration capabilities of nodes etc., this paper proposed a data fusion algorithm DFHCAC based on heterogeneous clustering and asynchronous reelecting cluster heads to adapt the complexity and changeability of WSN topology. The experimental results show that the survival time of DFHCAC is longer about 47% than LEACH and the energy consumption is less about 25% than LEACH under the same network condition. So DFHCAC´s performance is superior to LEACH, it can effective save energy and prolong network life cycle.