System and method for multi-channel allocation based on relative position in Internet of Vehicles

Abstract

The invention discloses a relative position-based multi-channel allocation system and method in the Internet of Vehicles. The system includes: a position and direction acquisition module for real-time acquisition of the position and speed information of the vehicle itself, and a neighborhood vehicle information acquisition module for It is used to receive the information of multiple neighboring vehicles; the relative position and local topology analysis module is used to determine its front, rear, left and right according to its own position information and the information of neighboring vehicles after receiving the information of multiple neighboring vehicles. , left front, right front, left rear, and right rear eight orientations, one or more vehicles, to establish a neighborhood topology in the shape of a meter; the channel allocation module is used to determine the "color" of the vehicle itself, and according to the "color" from Select one of four preset channel allocation schemes; the four preset channel allocation schemes are determined by converting the channel allocation problem into a dyeing problem; the communication module is used to communicate with each direction according to the selected channel allocation scheme Neighboring vehicles perform multi-channel synchronous communication with the agreed channel.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a relative position-based multi-channel allocation system and method in the Internet of Vehicles. Background technique [0002] Autonomous vehicle driving is a hot topic in scientific research and business. How to solve the safety problems in autonomous vehicle driving is the key to autonomous vehicle driving. Existing autonomous vehicle driving methods mainly realize real-time positioning and environmental perception of autonomous vehicles by integrating information such as ultrasound, vision, laser, and GPS, which are the basis for autonomous vehicles to make driving decisions. Part of the research work uses inter-vehicle communication methods to assist autonomous vehicle driving, including mobile phone communication, but faces problems such as difficulties in networking and insufficient communication. [0003] As an important part of intelligent transportation ...

AI Technical Summary

Problems solved by technology

[0014] Aiming at the problems of networking difficulties and insufficient communication existing in the prior art in vehicle networking communication, the present invention provides an effective and efficient multi-channel distribution system and method based on vehicle networking

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