In recent years, there has been a growing interest in backscatter networks. Backscatter nodes such as radio frequency identification (RFID) tags can absorb electromagnetic waves in the environment as energy and can be deployed on a large scale within the environment. These advantages make they can communicate with each other in the complex environment. However, due to factors such as multipath effect and channel fading, when we select unfit rate the system’s goodput will decrease. Therefore, it is necessary to select rate according to environment for improving the system’s goodput. the throughput of the backscatter network is greatly affected. Therefore, to improve the throughput of the backscatter network, rate adaptation is necessary. However, there have been some problems such as poor timeliness of the trigger and poor universality of the rate selection scheme in the process of rate adaptive research in the past few

years. To address the above issues, in this paper, we propose an algorithm called rate adaptation based on frequency shift (RAFS). Firstly, we design the trigger based on the frequency shift volatility. After that, this paper implements the trigger based on commercial readers and designs a rate switching scheme based on the time difference of two packets. According to the result of experiment, this algorithm has different degrees of system throughput improvement in both stationary and moving environments of tags, especially in dynamic environments. Overall, the overall system throughput is improved by about 15% compared to using only FM0 coding.