Internet of vehicles node forwarding utility learning method based on double-update strategy

Abstract

The invention relates to an Internet of Vehicles node forwarding utility learning method based on a double-update strategy. The invention relates to the technical field of mobile opportunity network communication, wherein the method comprises the steps: determining basic elements in a learning process based on information updating in an information interaction process between vehicle nodes; determining a node contact freshness coefficient, determining a node contact probability, and establishing a node forwarding first-use learning model in the vehicle-mounted opportunity network; determining a forwarding utility learning updating model according to the routing requirement of the vehicle-mounted opportunity network and the opportunity contact characteristic of the node, establishing a forwarding utility value data packet forwarding updating strategy, obtaining the moment when the sending node receives the data packet from the previous node, and establishing a forwarding utility value node contact updating strategy, wherein a learning coefficient different from a forwarding updating process is adopted in the updating process. According to the invention, the transmission performance of the vehicle-mounted opportunity network is improved, including improving the data packet delivery success rate and reducing the data packet transmission delay.

Description

technical field [0001] The invention relates to the technical field of mobile opportunistic network communication, and is a method for learning the forwarding utility of a vehicle networking node based on a double update strategy. Background technique [0002] The development wave of industrial automation promotes the development of high-tech such as information sensing, data communication and data processing. Monitoring, wild animal migration tracking and many other fields, social development has gradually entered the information age of the Internet of Things. In order to meet the ubiquitous interconnection and comprehensive perception requirements of the Internet of Things / Internet of Vehicles, smart devices need to be networked and interconnected. Therefore, the networking technology between devices has increasingly become the focus of the Internet of Things research field. In the practical application of highly dynamic ad hoc network / vehicle networking, it often faces t...

AI Technical Summary

Problems solved by technology

In the practical application of highly dynamic ad hoc network / vehicle networking, it often faces the problems of sparse distribution of nodes in the city and rapid changes in network topology, which cannot guarantee the connectivity of the network. Therefore, the traditional mobile ad hoc network communication protocol is no longer suitable for these complex Scenes

Because the condition for the application of these traditional communication protocols is to ensure that there is no less than one end-to-end link between any pair of nodes in the network, and this condition is difficult to be satisfied in the actual ad hoc network, so it is difficult to ensure that the network The transmission performance of the Internet of Vehicles makes it difficult to promote the Internet of Vehicles in practical applications.

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