The current UAV inspection multi-link data congestion control method based on link capacity uses a cache queue model to regulate the data throughput at the sending end, which leads to low control performance due to the lack of monitoring of data sending nodes. In this regard, the transmission line UAV inspection multi-link data congestion control method is proposed. The state of the UAV network data nodes is sensed using an ant colony algorithm, data scheduling flows are selected according to the bandwidth load, and data congestion is alleviated through data allocation as well as route maintenance. In the experiments, the control performance of the proposed control method is verified. The analysis of the experimental results shows that the proposed method is used to construct a multi-link data congestion control technique with a low data congestion rate and its control performance is high.
In the process of practical application, constrained by the UAV's own performance and other conditions, some transmission line UAV inspection data low latency back transmission method has the defect of high probability of code element error. In this context, a new method of low latency return transmission line UAV inspection data is designed. Construct the transmission line inspection task allocation model, derive the mathematical expression formula of the distance interval between the stationing point and the target tower in the area to be inspected, describe the probability of priority allocation in the inspection data transmission process, detect the effective bandwidth of the UAV channel, decompose the time delay between the UAV transmission end and the ground receiving end, and design the data low-latency back transmission method. Test result: The mean value of code element error probability of the designed transmission line UAV inspection data low latency return method is 2.214%, which has a higher performance advantage compared to the other two transmission line UAV inspection data low latency return methods.
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