Abstract

The Internet of Vehicle (IoV) technology is one of the most important technologies of modern intelligent transportation. The data transmission scheduling method is a research hotspot in the technology of IoV. It is a challenge to ensure the stability of data transmission due to fast network topology changes, high data transmission delays, and some other reasons. Aiming at the above problems, a multi-channel data transmission cooperative scheduling algorithm is proposed. First, construct a feasible interference map based on the data items sent and received by vehicles in the road scene. Second, assign channels to the nodes in the interference map based on the Signal-to-Interference-Noise-Ratio (SINR). Finally, the optimal multi-channel data transmission cooperative scheduling scheme is achieved through the ISing model. Simulation results show that compared with the traditional algorithm, the network service capacity is increased by about 31% and the service delay is reduced by about 20%. It ensures that emergency data is preferentially transmitted to the target vehicle and the maximum weighted service capacity of the network.

Highlights

  • Vehicular Ad-hoc Networks (VANETs) is the basis of modern intelligent transportation systems.It supports the wireless communication between Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) [1]

  • The high mobility of the vehicle and the high data transmission delay lead to a shorter connection time and frequent communication confusion between road-side unit (RSU) and vehicles [2,3]

  • Since the other two algorithms use single-channel communication and the IF algorithm uses the V2I communication mode, the IF algorithm has a lower weighted service capacity value than the Cooperative Data Dissemination (CDD) algorithm. It can be seen from the simulation results that the MDTCS algorithm, MCV-DTS algorithm, and CDD algorithm in this article are significantly better than the IF algorithm in different scenarios

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Summary

Introduction

Vehicular Ad-hoc Networks (VANETs) is the basis of modern intelligent transportation systems. It supports the wireless communication between Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) [1]. Effective data transmission scheduling is the most basic guarantee to ensure personnel safety and smooth traffic. Due to the special nature of the Internet of Vehicles (IoV), there may be many challenges to ensure the successful transmission of data. The high mobility of the vehicle and the high data transmission delay lead to a shorter connection time and frequent communication confusion between road-side unit (RSU) and vehicles [2,3]. Data transmission scheduling is widely used to alleviate problems such as small RSU coverage and short vehicle connection time

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