Improving Vehicle Connectivity Through a Novel Self-Organizing Network Mechanism

TL;DR

This paper proposes a new self-organizing network mechanism to improve vehicle connectivity and road safety using LiDAR and V2X communication.

Contribution

A novel self-organizing method for vehicle networks is introduced to enhance V2X communication reliability and safety.

Findings

Organizing vehicles into groups using LiDAR improves network safety.

Exponentially distributed waiting times for data transmission outperform immediate sending.

The proposed method enhances V2V communication reliability for emergency messages.

Abstract

A trend analysis mentioned that the global automotive Vehicle-to-Everything—also called V2X—market size will be reached at several billions in the near future. This information clearly highlights the importance of developing V2X communication. Nowadays, automobile manufacturers have introduced vehicles equipped with driver assistance and even conditional autonomous driving features. Light detection and ranging (LiDAR) components are used in sensor networks to detect objects around. Also, vehicles take advantage of LiDAR sensors to discover the neighbor cars in cognitive systems for road safety. Carrying on from our previous works, we found that organizing vehicles into groups can enhance the safety of the vehicle networks by LiDAR assistance. However, the success rate and reliability of grouping vehicles is an important issue. Also, enhancing existing Vehicle-to-Vehicle (V2V) communication mechanisms remains a key factor in ensuring that emergency messages can be transmitted both timely and accurately. To address this, in this research, a method is proposed to make vehicles on the road be self-organized well for Intelligent Transportation Systems (ITS). Also, we found that before data in each car is transmitted, the scenario that data is queued for waiting a random time exponentially distributed outperforms data being sent immediately.

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