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

A driving environment and self-adaptive technology, applied in the field of Internet of Vehicles research, can solve problems such as excessive overhead, impact on communication link quality, and increased number of forwarding times, so as to prevent data packet delay from increasing, improve packet delivery rate, and prevent chaining. The effect of road disconnection

CN109561392AActive Publication Date: 2019-04-02DONGHUA UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2019-04-02

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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.
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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 ...

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Embodiment Construction

[0055] Below in conjunction with specific embodiment, further illustrate the present invention.

[0056] The present invention proposes an adaptive dynamic perception routing SaDaDR for the driving environment of the Internet of Vehicles application oriented to the Internet of Vehicles. The characteristics of routing SaDaDR are: specially designed vehicle motion behavior perception algorithm, traffic environment adaptive mechanism based on dynamic adaptive beacon period, and enhanced forwarding strategy based on opportunity weight. The advantage of this route is that it can dynamically predict the position of the vehicle and the quality of communication coverage; and it can adaptively adjust the broadcast interval of Beacon according to the change of traffic density and speed, so as to prevent the large delay caused by channel competition in the congested environment. , while solving the problem of network topology fragmentation in high-speed environments. Therefore, routing ...