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Delay and energy efficiency are two important parameters to evaluate the wireless sensor networks (WSN) quality. In the WSN, the interference will affect the packets transmission. When a sensor needs to send a packet, we choose the parameter signal-to-interference ratio (SIR) as the threshold to decide whether send or not. SIR thresholds selection show SIR could manage the tradeoff between the average delay and energy consumption. We propose fuzzy logic system (FLS) in the optimization of SIR threshold selection. Average delay and distance of a node to the source node are selected as antecedents for the FLS. The output of FLS provides adjusting factor for the SIR threshold. Simulation result show the fuzzy optimization could achieve a better network efficiency, reduce the average delay and extend the network lifetime.