A Fleet-Based Vehicle Task Offloading Decision and Overall Resource Allocation Method

Abstract

The invention discloses a fleet-based vehicle task offloading decision-making and overall resource allocation method, which is applied to the field of wireless communication technology and edge computing. In the existing vehicle edge computing method, the coverage of the server and the limited computing resources and the high speed of the vehicle The problem of unstable connection links caused by mobility; the present invention provides task processing services for vehicle fleets and RSUs with edge computing capabilities for task offloading vehicles, and performs joint optimization of task and resource allocation, enabling on-board task execution in the Internet of Vehicles environment The time delay and energy consumption of the vehicle are minimized; and the computing power of multiple vehicles is aggregated, and the leading vehicle is used as the offloading point of the task, and the secondary unloading of the task is completed according to the computing resources and communication link conditions of the fleet, and spectrum resources are allocated in the fleet , which reduces the communication overhead of the fleet's internal interaction and improves the transmission reliability in the environment of rapid changes in vehicle network topology in the Internet of Vehicles.

Description

technical field [0001] The invention belongs to the field of wireless communication technology and edge computing, and in particular relates to a vehicle task offloading technology. Background technique [0002] The Internet of Vehicles (IoV) is an important application of the Internet of Things (IoT) in the automotive industry, and is considered to be the information basis of the next-generation intelligent transportation system. In order to reduce traffic accidents and improve travel convenience, the number of intelligent transportation applications such as vehicle automatic driving and intelligent assisted driving is increasing. However, these emerging applications not only require high computational complexity, but are also sensitive to latency. The limited computing power and storage capacity of current on-board equipment may not fully meet the requirements. On the other hand, Vehicle Edge Computing (VEC), which combines Mobile Edge Computing (MEC) with vehicle networ...

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Problems solved by technology

[0008] In order to solve the problem of unstable connection links caused by limited server coverage and computing resources and high-speed mobility of vehicles in the existing vehicle edge computing methods, this invention proposes a fleet-based vehicle task offloading decision-making and overall resource allocation method

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