Motorcade-based vehicle task unloading decision and overall resource allocation method

Abstract

The invention discloses a motorcade-based vehicle task unloading decision and overall resource allocation method, which is applied to the fields of wireless communication technology and edge computing, and aims at solving the problems of limited coverage and computing resources of a server and unstable connection link caused by high-speed mobility of vehicles in the existing vehicle edge computingmethod. According to the method, the motorcade and the RSU with the edge computing capability are used for providing task processing services for task unloading vehicles, joint optimization of task and resource allocation is carried out, and time delay and energy consumption of vehicle-mounted task execution under the Internet of Vehicles environment are minimized; according to the method, the computing power of a plurality of vehicles is aggregated, the head vehicle is used as a task unloading point, secondary unloading of the task is completed according to the computing resource and the communication link condition of the fleet, and the spectrum resource is allocated in the fleet, so that the communication overhead of internal interaction of the fleet is reduced, and the transmission reliability in a vehicle network topology rapid change environment in the Internet of Vehicles is improved.

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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