## 6 Result and Discuss
### Transmission Efficiency Analysis  
#### 6.3.1 Transmission Accuracy Analysis  
According to the research of this paper, in the field of underwater wireless sensor networks, there is no algorithm that can dynamically adjust the accuracy of data transmission when selecting routes and sending data. Therefore, the existing state-of-the-art algorithms were not compared with the RL-ADTA in the analysis of the transmission accuracy. The deviation degree between the data collected and sent by the sensor node and the data received and recovered by the sink node is used to illustrate the performance of the RL-ADTA in controlling the accuracy of the transmitted data. RL-ADTA (0.1, 0.2, 0.01) was used to carry out underwater temperature monitoring and data transmission experiments based on 20 different periods. The accuracy\({}_{low}\) of RL-ADTA (0.1, 0.2, 0.01) determines the actual minimum amount of data to be transmitted, that is n\({}_{min}\) (0.1, 0.2, 0.01). The n\({}_{max}\) of RL-ADTA (0.1, 0.2, 0.01) are determined using Formula (7). When the monitoring data transmission interval is 6, the n\({}_{max}\) (0.1, 0.2, 0.01) are all set to be 4. The number of transmission correction data initially set by RL-ADTA (0.1, 0.2, 0.01) is 4, which represents the accuracy\({}_{high}\) of RL-ADTA (0.1, 0.2, 0.01). During transmission, the accuracy of RL-ADTA (0.1, 0.2, 0.01) remains unchanged or gradually decreases according to the transmission environment, but the deviation is not lower than the accuracy\({}_{low}\) (0.1, 0.2, 0.01). After several rounds of iteration and training, the RL-ADTA (0.1, 0.2, 0.01) model converges. The data of 20 periods are sent into the underwater network transmission model based on RL-ADTA (0.1, 0.2, 0.01). The ratio between the data actually received by the sink node and the data that need to be sent by the sensor node, and the RMSE between the recovered data in sink node and the collected data in sensor node, are calculated and shown in Figure 12.  
Figure 12: Analysis of transmission efficiency and accuracy of RL-ADTA (0.1, 0.2, 0.01). The colors of lines and histograms represent the type of algorithm. The ratio between the data actually received by the sink node and the data that need to be sent by the sensor node in each period is shown in the line chart. The lower the ratio, the smaller the amount of correction data received. The RMSE between the data recovered by the sink node according to the prediction parameters and correction data, and the data collected by the sensor node in each period, is shown in the histogram. The smaller the RMSE, the higher the accuracy of the underwater monitoring application. Figure 12 shows that, as the accuracy\({}_{low}\) decreases, the RMSE of each period gradually decreases, but the number of data transmitted gradually increases. When the accuracy\({}_{low}\) is 0.2, the mean value of the RMSE in 20 periods is 0.0903, the mean value of the received/sent ratio is 0.2583; and there is no need to send correction data in periods 7, 15, 16, 19, and 20. When the accuracy\({}_{low}\) is 0.1, the mean value of the RMSE in 20 periods is 0.0473, the mean value of the received/sent ratio is 0.5292, and the number of sent correction data fluctuates greatly. When the selected threshold is 0.01, the mean value of the RMSE in 20 periods is 0.0286, the mean value of the received/sent ratio is 0.9021, and the number of the correction data actually received by the sink node is close to the number of the collected data that needs to be sent by sensor node. According to the data analysis--although the initial accuracy of RL-ADTA (0.1, 0.2, 0.01) is set to the same accuracy\({}_{high}\)--due to the difference in accuracy\({}_{low}\) (0.1, 0.2, 0.01), and the fact that the parameter setting pays more attention to the packet-sending success rate and transmission efficiency, through multiple episodes of training, the transmission accuracy of RL-ADTA (0.1, 0.2, 0.01) converges to the accuracy\({}_{low}\) (0.1, 0.2, 0.01), respectively.