High-speed train Internet-of-Vehicles topological optimization method based on IAGA algorithm

Abstract

The invention discloses a high-speed train Internet-of-Vehicles topological optimization method based on an IAGA algorithm, and the method comprises the steps: converting the optimization of a network topological structure into a distribution planning process of network terminal equipment, and defining all parameters of a vehicle-mounted network; preliminarily constructing a two-layer topological structure model of the train Internet of Vehicles under a vehicle-mounted network connection reliability constraint condition; establishing an objective function model taking network traffic load and communication time delay as optimization indexes on the basis of calculation of data communication traffic, determining constraint conditions of an objective function according to limitation of physical conditions of full-duplex switching nodes, and planning a distribution mode of vehicle-mounted terminal equipment by using an improved self-adaptive genetic algorithm; and carrying out optimization solution in the improved adaptive genetic algorithm to obtain the distribution result of the terminal equipment nodes in the optimized network topology. According to the method, the communication load of each switching node subnet in the topology can be effectively reduced, so that the end-to-end time delay between terminal equipment is reduced, and the real-time performance of the high-speed train Internet of Vehicles is improved.

Description

technical field [0001] The invention belongs to the technical field of train communication networks, and in particular relates to an IAGA algorithm-based high-speed train network topology optimization method. Background technique [0002] In recent years, the operating mileage of my country's rail transit has continued to increase, the control and monitoring technology of high-speed trains has improved, and the improvement of passenger service demand information has made the types and quantities of network terminal equipment in the train network control system continue to increase. It needs to carry more information exchange, so there is a higher data transmission rate requirement. The transmission rate of the bus-type network on the high-speed train can no longer meet the requirements of real-time transmission of large amounts of data. Because of its higher transmission rate and good compatibility, industrial Ethernet has become the main solution for the development of high-...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a high-speed train network topology optimization method based on the IAGA algorithm. The present invention aims at the problem of poor real-time performance in the high-speed train network based on industrial Ethernet, by optimizing the vehicle-mounted The terminal equipment allocation method reduces the communication load of each switching node subnet in the topology, thus reducing the end-to-end delay between vehicle terminal equipment in the high-speed train Internet of Vehicles, and achieving the goal of improving the real-time performance of the high-speed train Internet of Vehicles Purpose

Images