Overlapped organization cooperation control method based on vehicle fog calculation architecture

Abstract

The invention relates to an overlapping organization cooperation control method based on a vehicle fog calculation architecture, and the method is characterized in that each vehicle node in a target region generates task information needing cooperative calculation according to the demands, and transmits the task information to a roadside center unit in a corresponding service region, the vehicle nodes in the same service region form an alliance, and the cooperative calculation of the vehicle nodes in the target region is completed. Each vehicle node is added into a plurality of alliances at the same time, so that the alliances are overlapped, each alliance realizes calculation resource sharing under the control and scheduling of the roadside center unit, and the roadside center unit generates an optimal resource scheduling decision according to calculation resources and position information periodically fed back by vehicles. And the alliance performs competition calculation according to the optimal resource scheduling decision. Compared with the prior art, the method has the advantages that the task calculation efficiency of the local Internet of Vehicles is effectively improved, the task is prevented from being transmitted to the remote server side, and the service time delay and the transmission overhead are reduced.

Description

technical field [0001] The present invention relates to the field of vehicle collaborative computing, in particular to an overlapping organizational collaborative control method based on vehicle fog computing architecture. Background technique [0002] In recent years, with the introduction and development of the concept of intelligent transportation system and smart city, the Internet of Vehicles has received more and more attention and research. As the number of smart vehicles increases, the demand for computing tasks on board units is also increasing. Mobile applications such as virtual reality, augmented reality, autonomous driving, and various in-vehicle entertainment projects have further increased requirements for computing power and real-time computing. The computing power of the vehicle itself can no longer meet the demand, and the computing tasks are offloaded to remote servers for processing. The delay is too expensive to satisfy some services with high real-time...

AI Technical Summary

Problems solved by technology

This non-overlapping alliance division strategy ignores the possible potential benefits of a player joining multiple alliances at the same time

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