Big Data-oriented Intelligent Control Algorithm for Marine Communication Transmission Channel

Due to the impact of burst data, delay acknowledgment, acknowledgement compression and other factors, the traditional bandwidth estimation algorithm has the problem of too high estimation value, resulting in packet loss and delay jitter, low ship communication information transmission rate and heavy transmission load. An intelligent control algorithm for ship communication information transmission channel based on improved bandwidth estimation algorithm is proposed. In the process of establishing ship communication information transmission channel model, the state transition probability matrix and packet loss probability are set to simulate the wireless channel under different conditions. By calculating the bandwidth sampling value and updating the threshold of filtering bandwidth sampling value, the intelligent control of large data transmission channel is realized. The experimental results show that when the redundancy value is 2, the ship communication information delivery rate is higher and the transmission load is lower, which can effectively control the traffic sent to the network.