The proposed algorithm modified the prior frame size by comparison with the preset decision threshold and identified the end conditions based on the value of accumulation factor C of EPC protocol. The slot-predicting binary selection scheme was used in each frame to accelerate idle slots and solve collisions with binary selection instantly, so that to reduce the invalid slots. Simulation results show that the proposed algorithm can increase the system throughput and consumes less power and fewer time slots than previous work, and provide a solution for data collection of Internet of Things which takes RFID tags as perceptive terminal nodes.%在得出EPC协议防碰撞机制中累加因子C的基础上,通过比较预设差值门限的方法调整帧长,并明确了识别结束条件；同时,采用时隙预测二进制选择机制对下一时隙响应标签数量进行预测,对空闲时隙加速跳过,碰撞时隙进行实时二进制散列处理,从而减少无效时隙的出现.仿真结果表明,改进后的算法能够有效增加系统吞吐率,降低开销与时延,为将RFID标签作为感知终端的物联网系统在数据采集方面提供了合理的解决方案.
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