New Method of Edge Computing-Based Data Adaptive Return in Internet of Vehicles

Edge computing technology can be used to the Internet of Vehicles (IOV) to solve the mobile characteristics of vehicles and the limited communication range between roadside units and vehicles. New method of edge computing-based data adaptive return in IOV is proposed in this article. The transmission strategy can be determined by adaptive estimating the vehicle movement, the amount of data returned, the maximum transmission delay, and effective life of link. And the factors, such as speed, direction, and position of the vehicles, are comprehensively considered and these factors can be measured by the stability effect value when adaptive designing the auxiliary transmission strategy. At the same time, greedy selection method is used when constructing the data return link, and the neighbor node as the relay node with the maximum stability and efficiency value is chosen. Our experimental results show our method in terms of performance on transmission delay and packet delivery rate is better than other ones.

I. Introduction

As We know, the Internet of Vehicles (IOV) should be considered the problems on the mobile characteristics of vehicles and the limited communication range between roadside units and vehicles [1], [2]. The advancement of the IOV has paved the way for intelligent transportation and enhanced driving experience. With the rapid growth of applications of the IOV, such as autonomous driving, smart navigation, and in-vehicle video, the demand for content is soaring at an alarming rate [3], [4], [5]. However, the distance between the vehicle and the cloud server is long, and the data link capacity is limited, which poses a major challenge in supporting large-scale content delivery, and the massive data will lead to the failure of local computing and storage resources to effectively meet the demand [6], [7], [8], [9].