To the high-density, random deployed sensor network, a deployment strategy based on data fusion is proposed, in which D-S fusion perceptual model is used, and the high-density random deployment algorithm is transformed into a triangle deployment issue under certain quality of coverage. All the original sensor nodes are divided into triangular grids, the scope of data fusion is controlled within the deployment of grid by D-S theory for reducing cooperation energy. The simulation results show that the algorithm can effectively improve the detection reliability with a small redundancy, average energy consumption, and extended life of network.