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The hybrid applications of biofan and micro-porous aerator were adopted. Biofan was mainly used in daytime and micro-porous aerator was mainly used usually at night or in rainy days. With the changing environmental parameters, a fuzzy neural network based on reversed error propagation was applied to maintain the stability of dissolved oxygen. Tests showed that 40.6% energy was saved. The output was increased by 31.9% and the final margin was increased by 136.1%. Zigbee network was applied in the measurement of water quality parameters. The optimized LEACH communication protocol was used to achieve the purpose of node energy conservation and loss balance. According to the actual measurement of dissolved oxygen requirements, soft and hard threshold parameters were set to reduce sending times of mode data. Tests showed that the lifetime of optimized wireless sensor network was extended by 58%.