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Energy efficiency is the core issue in wireless sensor network's scheduling algorithm design, which calls up wide attention from researchers. However, few of the previous works notice the constraints on sensors caused by limited buffer size. It challenges the system's meeting deadlines performance. To alleviate this concern, we propose a scheduling policy: the least energy and free storage remaining first, which extends wireless sensor network's lifetime and provides a high real-time service's quality. To make our strategy more practical, we consider the user's non-cooperative behavior out of self-interests. It increases the system's packet lost in buffer overflow and reduces the energy efficiency. Based on a mixed strategy game model, we show that the non-cooperative game converges to an inefficient Nash Equilibrium, where the spectrum resource is significantly wasted. In order to eliminate user's selfish manner …