Datas collected by nodes in wireless sensor networks have high redundancy.Data fusion processing before transmitted to the Sink nodes can effectively reduce the energy consumption and prolong the network life cycle.A weighted fusion algorithm based on Gauss membership function is proposed

and Leach protocol in WSNs is improved.The sensor nodes in the network organize themselves into several clusters and choose two level cluster heads using improved Leach protocol.Multiple hops of the communication can prolong the network life cycle.In the first-level cluster heads

distribution method is used to eliminate the error data

and the weighted fusion algorithm based on Gauss membership function is used to process the effective data.Simulation results prove that the proposed data fusion technology can effectively eliminate sensor error

improve the fusion data precision and reduce energy consumption of wireless sensor networks.