针对无线传感器网络数据传输中的能量约束问题,为减少节点之间数据通信量,降低网络能耗,本文提出一种可减少数据传输量的数据融合方法.该方法建立在感应数据回归函数的基础上,运用加权最小二乘法和核函数方法优化节点数据模型.传感节点之间数据通信时不需要传输所有感应数据,只传递模型参数.仿真结果表明,本文提出的数据传输策略可以有效的对监测区域内采样点的感应数据进行估计和预测,降低总体网络能耗,延长网络生命周期,在实际应用中切实可行. In order to reduce the data traffic between nodes and reduce the network energy consumption, this paper presents a data fusion method to reduce the amount of data transmission, which is based on the energy constraint in wireless sensor networks , We use the weighted least square method and kernel function to optimize the node data model.The sensor nodes do not need to transfer all the sensing data and only the model parameters.The simulation results show that the proposed data transmission strategy can effectively The sensing data of the sampling points in the monitoring area are estimated and predicted to reduce the overall network energy consumption and extend the network life cycle, which is feasible in practical application.