Adaptive dynamic perception routing for Internet-of-vehicles driving environment

Abstract

The invention provides an adaptive dynamic perception routing for the Internet-of-vehicles driving environment, which comprises a driving behavior perception prediction module, a communication coverage radius prediction module, a dynamic beacon period environment adaptive adjustment module, an opportunity weight selection forwarding module and an environment adaptive dynamic perception routing protocol, wherein the driving behavior perception prediction module is used for dynamically predicting the vehicle location by using vehicle driving historical information; the communication coverage radius prediction module is used for calculating the effective communication coverage radius; the dynamic beacon period environment adaptive adjustment module is used for dynamically adjusting the beaconperiod of a neighbor discovery message frame; and the opportunity weight selection forwarding module is used for calculating opportunity weight values of vehicle nodes in all neighbor location tablesand selecting a vehicle with the maximum opportunity weight value for forwarding and delivery. The adaptive dynamic perception routing can effectively alleviate a problem of performance deteriorationof the packet delivery ratio of routing data packets due to dynamic changes of the vehicle traffic environments such as the vehicle density and driving speed in complex traffic environments such as urban blocks and expressways, obviously improves the routing performance of the Internet of vehicles, provides the low-delay and high-reliable forwarding quality and improves the connectivity of the Internet of vehicles.

Description

technical field [0001] The invention belongs to the technical field of Internet of Vehicles research, and in particular relates to an adaptive dynamic perception routing for the driving environment of the Internet of Vehicles. Background technique [0002] With the advent of the 5G era and the rapid development of artificial intelligence and the Internet of Things, as an important part of smart cities, the blueprint for future urban intelligent transportation systems is gradually emerging. As a converged network, 5G can enable the acquisition of traffic conditions, low-latency communication, large-scale data storage, and real-time feedback of traffic forecasts, which promotes the development of intelligent collaboration technology between vehicles and vehicles, and vehicles and roads in the Internet of Vehicles. [0003] In order to meet the forwarding quality required for the real-time broadcast of safety messages of the Internet of Vehicles, it is very urgent to solve the ...

AI Technical Summary

Problems solved by technology

[0006] 2. The continuous change of the topology structure in the vehicle communication network brings corresponding changes in the quality of communication coverage, which leads to changes in the radius of communication coverage and affects the quality of communication links

[0007] 3. The usual geographic location-based routing relies significantly on high-precision electronic maps. It needs to continuously update the complex routing neighbor table according to changes in vehicle driving behavior. In complex urban traffic environments, due to the occlusion of elevated buildings, real-time not enough, too much

[0008] 4. In high-speed mobile scenarios, dynamic changes in traffic density lead to unstable network topology and decreased network connectivity

Usually, the peripheral forwarding of the route will increase the number of forwarding times, thereby increasing the end-to-end delay

Images