In this brief, an improved multiband-structured subband adaptive filter (IMSAF) algorithm is applied in diffusion networks. The introduced diffusion IMSAF (DIMSAF) utilizes the input regressors at each subband to increase the convergence speed of the diffusion normalized subband adaptive filter. This advantage is achieved at the cost of increased computational complexity and steady-state error. Therefore, the DIMSAF with dynamic selection of nodes (DIMSAF-DSN) is proposed. In DIMSAF-DSN, the nodes are dynamically selected according to the largest decrease in mean-square deviation at each iteration. The DIMSAF-DSN has low computational complexity, fast convergence speed, and low steady-state error. Simulation results demonstrate the good performance of the proposed algorithms.