Research On Computing Offloading And Task Scheduling Of Internet Of Vehicles Based On Contract Incentives

The rapid development of Internet of Things technology and wireless technology has played a positive role in promoting the development of smart cars,and the demand for in-vehicle applications has grown rapidly.The Internet of Vehicles business is gradually showing delay-sensitive and computationally intensive properties,posing new problems to the task computing and scheduling of the Internet of Vehicles.Since the computing power of a single car system is very limited,and the car has high mobility characteristics.Considering that in application scenarios such as highways,V2 V transmission is often unreliable due to frequent switching and parking vehicles in urban scene parking lots have abundant and idle resources,this paper discusses and analyzes the computing offloading and task scheduling of the Internet of Vehicles based on contract incentives.,and also analyzes the joint optimization of task offloading and resources in a parking lot environment with contract incentives.This study includes the following:(1)The vehicle edge computing offloading and recycling mechanism based on the highway scene is formulated.Aiming at the speed changes of Intelligent Connected Vehicles(ICVs)in the fleet,a task offloading and recycling scheme is proposed,which can reduce the probability of task processing failure due to link disconnection.Considering the multi-task offloading system,in the process of analyzing the resource allocation and sub-task flow incentives of fleet members,the analysis is carried out through the Stackelberg game(UDTF-UV),especially considering the mobility of fleet members in the fleet,this game Considering the task recovery,the integrity of the entire subtask process is guaranteed,and the task efficiency is improved.At the same time,an optimization scheme based on deep learning is proposed to solve the price strategy of sub-task flow,and maximize the participants’ benefits by jointly optimizing price decision-making and computing resource allocation.(2)A contract-based incentive-based vehicle edge computing mechanism in urban scenarios is proposed.First,a contract-based incentive mechanism is designed to encourage parked vehicles with idle computing resources in the parking lot to join RSU assistance.Based on a contractual incentive mechanism to incentivize parked vehicles(PVs)in the parking lot to contribute their idle onboard resources.PVs can be classified into different types according to their downtime and the weighting of the remaining energy.Then,the designed contract incentive scheme is allocated to different types of PVs.To realize the incentive mechanism,the contract incentive optimization problem is studied to maximize the utility of the service provider.To optimize contract incentives,the Lagrange multiplier method is used to solve the simplification problem.The method contract can incentivize the parked vehicles with idle computing resources in the parking lot,and the proposed task scheduling and resource allocation scheme can change the utility of vehicles.