Internet of Vehicles transmission method and device based on information freshness

Abstract

The embodiment of the invention provides an Internet of Vehicles transmission method and device based on information freshness, applied to the technical field of the Internet of Vehicles. The method comprises the following steps: obtaining an update objective function according to an initial objective function and the fact that information age of the vehicle collection node is a fixed value, whenvehicle collection node does not send a data packet within a preset time period T; constraining the network by minimizing the change rate of a Lyapunov function to obtain a final objective function, calculating an upper limit of the final final objective function at T=1, determining a second-best solution of the minimum final objective function by minimizing the upper limit to obtain an update strategy function and a routing algorithm function, determining the update strategy according to the update strategy function, determining a measurement factor according to the Q-learning algorithm andthe routing algorithm function, performing, by the vehicle collection node, information update decision making according to the update strategy, and selecting a neighbor node with the maximum measurement factor to transmit the data packet. By adoption of the Internet of Vehicles transmission method and device provided by the invention, the computational complexity and the information age can be reduced.

Description

technical field [0001] The invention relates to the technical field of the Internet of Vehicles, in particular to a transmission method and device for the Internet of Vehicles based on information freshness. Background technique [0002] With the development of science and technology and the advancement of technology, various sensor devices are becoming more and more popular, covering almost every corner. They are mainly used for information collection and transmission to support applications such as environmental monitoring, vehicle positioning, and anomaly detection. The timeliness of this kind of information is particularly important, and its importance is also positively correlated with timeliness, and its importance generally decreases sharply as time goes by. In order to measure the timeliness of information, scholars put forward the index of information age. Information age can be used to measure the timeliness of information in a network. The meaning of information ...

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Problems solved by technology

In the prior art, the routing algorithm obtained by optimizing the throughput in the multi-hop network takes the network indicators such as throughput and delay as the optimization target, although it can maximize the network throughput and improve the resource utilization, but it cannot measure the network The information timeliness of each node in

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