Multi-agent-based calculation task unloading and resources allocation method for vehicle speed perception

Abstract

The invention discloses a multi-agent-based calculation task unloading and resources allocation method for vehicle speed perception, which comprises the following steps of: collecting a vehicle end calculation task, and dividing the vehicle end calculation task into a key task, a high priority task and a low priority task according to the type of the vehicle end calculation task; calculating corresponding time delay and energy consumption unloaded to a VEC server, locally executed and continuously waited under different computing resource and wireless resources allocation, and then forming anobjective function for reducing task processing energy consumption of a vehicle end under the constraint of a time delay threshold of each task; converting the target function into a Markov decision process; training the multi-agent reinforcement learning network; and inputting the states of the to-be-allocated vehicle end and the edge server into the trained multi-agent reinforcement learning network to obtain a task unloading and resource allocation result. The invention can effectively improve the overall performance of the vehicle in a VEC server scene.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a calculation task unloading and resource allocation method based on multi-agent vehicle speed perception. Background technique [0002] With the rapid development of the Internet of Things, smart vehicle applications (including automatic driving, image-assisted navigation and multimedia entertainment) have been widely used in smart cars, which can provide drivers and passengers with a more comfortable and safe environment. However, these in-vehicle applications consume a lot of computing resources and require extremely low processing time. Cloud servers with powerful computing and storage capabilities can be used to handle the offloading computing tasks of vehicles, but the long-distance transmission may cause high delay , in order to deal with the drawbacks of cloud servers, Vehicle Edge Computing (VEC) came into being. [0003] The VEC server is closer to the veh...

AI Technical Summary

Problems solved by technology

However, these in-vehicle applications consume a lot of computing resources and require extremely low processing time. Cloud servers with powerful computing and storage capabilities can be used to handle the offloading computing tasks of vehicles, but the long-distance transmission may cause high delay , in order to deal with the disadvantages of cloud servers, Vehicle Edge Computing (VEC) came into being

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