Research On Adaptive Communication Of Unmanned Vehicle Under Multi-network Coexistence

In recent years,there have been more and more researches on the work of unmanned vehicles.An important basis in the research of unmanned vehicles is communication.Since unmanned vehicles are mobile and the environment in which they are located is uncertain,the communication quality of unmanned vehicles has become An important research topic.In order to solve the problem of the collapse of the entire communication environment due to a wireless network failure,more and more unmanned vehicle working environments simultaneously adopt multiple wireless networks to form a communication environment.This paper studies the adaptive communication of unmanned vehicles under the coexistence of multiple networks,and takes advantage of the coexistence of multiple networks to ensure the real-time performance of unmanned vehicle real-time data.The work and contributions of this paper are as follows:(1)According to the characteristics of unmanned vehicles,a set of communication models for heterogeneous networks is proposed,and a unified abstract technology for heterogeneous networks is designed and implemented.A scheme that combines dynamically updating the optimal wireless network and ensuring real-time data transmission scheduling is proposed to ensure the communication quality between unmanned vehicles.(2)Aiming at the problem of low communication quality of unmanned vehicles in a multi-network coexistence environment,an optimal network adaptive decision-making technology under multi-network coexistence is proposed.Improve the TOPSIS algorithm,increase its calculation speed without changing its evaluation accuracy,and innovatively combine the GRA algorithm with the MTOPSIS(improved TOPSIS)algorithm,and incorporate the data volume of the data queue to be transmitted into the network Evaluation attributes.Real-time monitoring of the evaluation attributes of each wireless network,establish a discriminant matrix to comprehensively calculate and evaluate the evaluation attributes of each wireless network of the unmanned vehicle,and then sort the wireless networks,select the best wireless network at the current moment for data communication,and improve the wireless network The efficiency of data transmission;and the optimal network trigger update mechanism triggered by the real-time attributes of the network is proposed,which solves the problem that the network may be updated frequently in other studies.(3)Aiming at the problem of real-time data transmission guarantee in the operating environment of unmanned vehicles,an innovative wireless network data real-time scheduling technology based on a joint classification strategy is proposed.The data to be transmitted is classified according to different real-time requirements,and the PQ strategy and the time slice allocation scheduling strategy are improved and combined,which not only ensures the real-time performance of the real-time data in the unmanned vehicle,but also solves the problem of long-term access to low-priority data.To the issue of scheduling to send.(4)Experiments on the above-mentioned technology proposed in this paper have verified the feasibility of the above-mentioned technology,and analyzed its performance through the experimental results.