Research On Multi-path Transmission Technology Based On Machine Learning In Vehicle Heterogeneous Network

As we all know,the Internet of Things(IoT)is an important new generation of information technology.The Internet of Things mainly includes embedded technology,RFID technology and sensor network technology.The nodes are monitored to achieve the purpose of intelligent tracking and only monitoring.In the actual application process,the physical layer information is identified and collected through the Internet of Things technology,and then transmitted to the terminal through the network for processing,and the command sent by the intelligent terminal is executed,thereby constructing a management system that integrates with real life.Combined with the network connection,information sharing between things and things is realized.IoT applications are in a wide range of fields.For example,the Internet of Things technology has been extensively studied in the fields of smart transportation,smart cities,smart homes,and smart health,which can greatly improve people’s quality of life and greatly enrich people’s enjoyment of life.Smart transportation is an important part of the IoT.The development of smart transportation technology has also promoted the development of in-vehicle devices.In-vehicle applications have also become diversified.In-vehicle applications such as audio-visual entertainment,safe driving,and real-time video surveillance are becoming more and more popular.In the vehicle heterogeneous network,the multi-path transmission technology that simultaneously uses multiple networks for data transmission and can effectively solve the network load balancing problem has been widely studied.However,in a heterogeneous network,path characteristics change dynamically and path parameters vary greatly.Therefore,in order to achieve efficient and reliable data transmission in heterogeneous networks,this article mainly studies path optimization schemes in multi-path transmission technology.First,it analyzes the problems and effective solutions to the problems in the heterogeneous network and multi-path transmission technology.After comprehensive analysis,a path optimization program is proposed with the optimization goal of suppressing the disorder of data packets.The main idea of the scheme is to establish a path evaluation model based on bandwidth,packet loss rate and path delay,and then use a search scheme based on the fusion of forward delay methods to search for a group of large bandwidth,The path with low packet loss rate and small delay difference is used as the active path for data transmission.This path evaluation model fully considers the impact of different path parameters,making the selection of the optimal path more accurate.Can greatly reduce the problem of out-of-order data packets,thereby improving throughput and network utilization.However,because the problem of out-of-order data packets at the receiving end cannot be completely eliminated,a certain degree of out-of-order data packets will inevitably cause an increase in network energy consumption,and multi-path transmission will consume more energy than singlepath transmission.In view of network energy consumption,a joint optimization scheme for data packet disorder and network energy consumption is proposed,so as to achieve the dual goal of reducing data packet disorder and reducing network energy consumption.The solution first standardized the path delay,bandwidth,and packet loss rate parameter values,and then calculated the energy value and network energy consumption value of each backup path according to the energy consumption model,and established the solution based on the calculated values.Path evaluation model.Finally,the k-NN algorithm is used to search this path evaluation model to find a set of paths that can meet the low degree of packet disorder and low network energy consumption for data transmission.The establishment of this path evaluation model not only considers the impact of path performance on path selection,but also considers the balance between network energy consumption and path optimization.The transmission performance of the searched active path is also better.The simulation results show that the path searched by this scheme On the premise of meeting the requirements of out-of-sequence of data packets,the energy consumption of network transmission can be reduced.